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  • how to apply Discrete wavelet transform on image

    - by abuasis
    I am implementing an android application that will verify signature images , decided to go with the Discrete wavelet transform method (symmlet-8) the method requires to apply the discrete wavelet transform and separate the image using low-pass and high-pass filter and retrieve the wavelet transform coefficients. the equations show notations that I cant understand thus can't do the math easily , also didn't know how to apply low-pass and high-pass filters to my x and y points. is there any tutorial that shows you how to apply the discrete wavelet transform to my image easily that breaks it out in numbers? thanks alot in advance.

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  • Edge detection using wavelet

    - by cheoma
    I had done Edge detection using wavelet transform using thus steps changing the image to Gray scale decomposing the image using dwt2(discrete wavelet transform,Haar wavelet filter ) in to horizontal,vertical,diagonal and approximation(detail) further decomposing the horizontal part threshold (global threshold like canny Edge detection ) i got the edge but i got a problem while locating the edge to complete image to mean recovering original image using only the Edges so i need help concerning this either in concept ,mat lab code or references I hope i will get your help soon

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  • haar transformation on an image

    - by kabatusuka
    hello, i need some help with haar transformation, i have to apply it on an image. My math is bad, my english not all that awesome and i find it hard to understand from articles on the internet. I found this page http://www.cs.ucf.edu/~mali/haar/haar.cpp where the haar transformation is applied on 2d matrix. I suppose if i give image pixels matrix in there, it should work? im confused about this stuff, could someone enlighten me a bit please? Thank you!

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  • How to use Haar wavelet to detect LINES on an image?

    - by Ole Jak
    So I have Image like this I want to get something like this (I hevent drawn all lines I want but I hope you can get my idea) I want to use SURF ( (Speeded Up Robust Features) is a robust image descriptor, first presented by Herbert Bay et al. in 2006 ) or something that is based on sums of 2D Haar wavelet responses and makes an efficient use of integral images for finding all straight lines on image. I want to get relative to picture pixel coords start and end points of lines. So on this picture to find all lines between tiles and thouse 2 black lines on top. Is there any such Code Example (with lines search capability) to start from? I love C and C++ but any other readable code will probably work for me=)

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  • OpenCV haar training for static image

    - by Evl-ntnt
    I trying to train haar cascade classificator for card suite detection (which no rotation and has no distortion on image) For example I have file Clubs.png which contents clubs image on white background 20x20 pixels This tutorial is so tangled http://note.sonots.com/SciSoftware/haartraining.html My image varies only in sizes, no distortion or angling. Which commands I must enter in aim to get Clubs.xml file?

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  • How to create Haar Cascade (xml) for using with OpenCV?

    - by inTagger
    If you familiar with OpenCV library, you know what is haar cascade image object detection. I mean image object detection like human face or something else. I have haar cascade xml for face detection, but i don't know how to create my own. I want to create Haar Cascade xml to detect simple bright circle light sources (i.e. flashing infrared light from TV remote control). So, how to create Haar Cascade (xml) for using with OpenCV?

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  • Daubechies-4 Transform in MATLAB

    - by Myx
    Hello: I have a 4x4 matrix which I wish to decompose into 4 frequency bands (LL, HL, LH, HH where L=low, H=high) by using a one-level Daubechies-4 wavelet transform. As a result of the transform, each band should contain 2x2 coefficients. How can I do this in MATLAB? I know that MATLAB has dbaux and dbwavf functions. However, I'm not sure how to use them and I also don't have the wavelet toolbox. Any help is greatly appreciated. Thanks.

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  • Generating a scalogram of a signal

    - by Goz
    Hi there, I'm trying to build a scalogram view for my app to see whether there is relevant information we can retrieve from a wavelet transform as opposed to using a spectograms to see what can be retrieved via an FFT. So far I can take a wave form and I can perform the forward wavelet transform on it. However I am lost at the next step. How do I turn this information into power/energy information? I have a set of wave forms at different frequencies but I have, as I say, no frequency information. Can anyone tell me what the next step is for turning this transformed data into a scalogram? Any help would be much appreciated because my google skills are failing me!

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  • Explaining training method for AdaBoost algorithm

    - by konzti8
    Hi, I'm trying to understand the Haar feature method used for the training step in the AdaBoost algorithm. I don't understand the math that well so I'd appreciate more of a conceptual answer (as much as possible, anyway). Basically, what does it do? How do you choose positive and negative sets for what you want to select? Can it be generalized? What I mean by that is, can you choose it to find any kind of feature that you want no matter what the background is? So, for example, if I want to find some kind of circular blob - can I do that? I've also read that it is used on small patches for the images around the possible feature - does that mean you have to manually select that image patch or can it be automated to process the entire image? Is there matlab code for the training step? Thanks for any help...

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  • [OpenCV] What do the "left" and "right" values mean in the haar cascade xml files?

    - by user117046
    In OpenCV's haar cascade files, what are the "left" and "right" values, and how does this refer to the "threshold" value? Thanks! Just for reference, here's the structure of the files: <haarcascade_frontalface_alt type_id="opencv-haar-classifier"> <size>20 20</size> <stages> <_> <!-- stage 0 --> <trees> <_> <!-- tree 0 --> <_> <!-- root node --> <feature> <rects> <_>3 7 14 4 -1.</_> <_>3 9 14 2 2.</_></rects> <tilted>0</tilted></feature> <threshold>4.0141958743333817e-003</threshold> <left_val>0.0337941907346249</left_val> <right_val>0.8378106951713562</right_val></_></_> <_>

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  • Subband decomposition using Daubechies filter

    - by misha
    I have the following two 8-tap filters: h0 ['-0.010597', '0.032883', '0.030841', '-0.187035', '-0.027984', '0.630881', '0.714847', '0.230378'] h1 ['-0.230378', '0.714847', '-0.630881', '-0.027984', '0.187035', '0.030841', '-0.032883', '-0.010597'] Here they are on a graph: I'm using it to obtain the approximation (lower subband of an image). This is a(m,n) in the following diagram: I got the coefficients and diagram from the book Digital Image Processing, 3rd Edition, so I trust that they are correct. The star symbol denotes one dimensional convolution (either over rows or over columns). The down arrow denotes downsampling in one dimension (either over rows, or columns). My problem is that the filter coefficients for h0 and h1 sum to greater than 1 (approximately 1.4 or sqrt(2) to be exact). Naturally, if I convolve any image with the filter, the image will get brighter. Indeed, here's what I get (expected result on right): Can somebody suggest what the problem is here? Why should it work if the convolution filter coefficients sum to greater than 1? I have the source code, but it's quite long so I'm hoping to avoid posting it here. If it's absolutely necessary, I'll put it up later. EDIT What I'm doing is: Decompose into subbands Filter one of the subbands Recompose subbands into original image Note that the point isn't just to have a displayable subband-decomposed image -- I have to be able to perfectly reconstruct the original image from the subbands as well. So if I scale the filtered image in order to compensate for my decomposition filter making the image brighter, this is what I will have to do: Decompose into subbands Apply intensity scaling Filter one of the subbands Apply inverse intensity scaling Recompose subbands into original image Step 2 performs the scaling. This is what @Benjamin is suggesting. The problem is that then step 4 becomes necessary, or the original image will not be properly reconstructed. This longer method will work. However, the textbook explicitly says that no scaling is performed on the approximation subband. Of course, it's possible that the textbook is wrong. However, what's more possible is I'm misunderstanding something about the way this all works -- this is why I'm asking this question.

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  • HttpError 502 with Google Wave Active Robot API

    - by Drew LeSueur
    I am trying to use the Google Wave Active Robot API and I get an HTTP 502 error example from waveapi import events from waveapi import robot from waveapi import ops import passwords robot = robot.Robot('gae-run', 'http://a3.twimg.com/profile_images/250985893/twitter_pic_bigger.jpg') robot.setup_oauth(passwords.CONSUMER_KEY, passwords.CONSUMER_SECRET, server_rpc_base='http://www-opensocial.googleusercontent.com/api/rpc') wavelet = robot.fetch_wavelet('googlewave.com!w+dtuZi6t3C','googlewave.com!conv+root') robot.submit(wavelet) self.response.out.write(wavelet.creator) But the error I get is this: Traceback (most recent call last): File "/base/python_runtime/python_lib/versions/1/google/appengine/ext/webapp/__init__.py", line 511, in __call__ handler.get(*groups) File "/base/data/home/apps/clstff/gae-run.342467577023864664/main.py", line 23, in get robot.submit(wavelet) File "/base/data/home/apps/clstff/gae-run.342467577023864664/waveapi/robot.py", line 486, in submit res = self.make_rpc(pending) File "/base/data/home/apps/clstff/gae-run.342467577023864664/waveapi/robot.py", line 251, in make_rpc raise IOError('HttpError ' + str(code)) IOError: HttpError 502 Any ideas?

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  • HttpError 502 with Google Wave Active Robot API fetch_wavelet()

    - by Drew LeSueur
    I am trying to use the Google Wave Active Robot API fetch_wavelet() and I get an HTTP 502 error example: from waveapi import robot import passwords robot = robot.Robot('gae-run', 'http://images.com/fake-image.jpg') robot.setup_oauth(passwords.CONSUMER_KEY, passwords.CONSUMER_SECRET, server_rpc_base='http://www-opensocial.googleusercontent.com/api/rpc') wavelet = robot.fetch_wavelet('googlewave.com!w+dtuZi6t3C','googlewave.com!conv+root') robot.submit(wavelet) self.response.out.write(wavelet.creator) But the error I get is this: Traceback (most recent call last): File "/base/python_runtime/python_lib/versions/1/google/appengine/ext/webapp/__init__.py", line 511, in __call__ handler.get(*groups) File "/base/data/home/apps/clstff/gae-run.342467577023864664/main.py", line 23, in get robot.submit(wavelet) File "/base/data/home/apps/clstff/gae-run.342467577023864664/waveapi/robot.py", line 486, in submit res = self.make_rpc(pending) File "/base/data/home/apps/clstff/gae-run.342467577023864664/waveapi/robot.py", line 251, in make_rpc raise IOError('HttpError ' + str(code)) IOError: HttpError 502 Any ideas? Edit: When [email protected] is not a member of the wave I get the correct error message Error: RPC Error500: internalError: [email protected] is not a participant of wave id: [WaveId:googlewave.com!w+Pq1HgvssD] wavelet id: [WaveletId:googlewave.com!conv+root]. Unable to apply operation: {'method':'robot.fetchWave','id':'655720','waveId':'googlewave.com!w+Pq1HgvssD','waveletId':'googlewave.com!conv+root','blipId':'null','parameters':{}} But when [email protected] is a member of the wave I get the http 502 error. IOError: HttpError 502

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  • Delete files on external hard drive affect SSD?

    - by haar
    I've got a SSD as my primary hard drive. I have an external HDD hard drive which I use to store downloaded files. At the moment I have to delete 80 GB of that external hard drive. I realized that if I delete it normally, it would probably go to the recycle bin of my SSD. I am wondering how I can delete the files on my HDD without affecting the SSD or putting any files on it. Do you know how to do this? Best, haar

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  • Matlab Image watermarking question , using both SVD and DWT

    - by Georgek
    Hello all . here is a code that i got over the net ,and it is supposed to embed a watermark of size(50*20) called _copyright.bmp in the Code below . the size of the cover object is (512*512), it is called _lena_std_bw.bmp.What we did here is we did DWT2 2 times for the image , when we reached our second dwt2 cA2 size is 128*128. You should notice that the blocksize and it equals 4, it is used to determine the max msg size based on cA2 according to the following code:max_message=RcA2*CcA2/(blocksize^2). in our current case max_message would equal 128*128/(4^2)=1024. i want to embed a bigger watermark in the 2nd dwt2 and lets say the size of that watermark is 400*10(i can change the dimension using MS PAINT), what i have to do is change the size of the blocksize to 2. so max_message=4096.Matlab gives me 3 errors and they are : ??? Error using == plus Matrix dimensions must agree. Error in == idwt2 at 93 x = upsconv2(a,{Lo_R,Lo_R},sx,dwtEXTM,shift)+ ... % Approximation. Error in == two_dwt_svd_low_low at 88 CAA1 = idwt2(cA22,cH2,cV2,cD2,'haar',[RcA1,CcA1]); The origional Code is (the origional code where blocksize =4): %This algorithm makes DWT for the whole image and after that make DWT for %cH1 and make SVD for cH2 and embed the watermark in every level after SVD %(1) -------------- Embed Watermark ------------------------------------ %Add the watermar W to original image I and give the watermarked image in J %-------------------------------------------------------------------------- % set the gain factor for embeding and threshold for evaluation clc; clear all; close all; % save start time start_time=cputime; % set the value of threshold and alpha thresh=.5; alpha =0.01; % read in the cover object file_name='_lena_std_bw.bmp'; cover_object=double(imread(file_name)); % determine size of watermarked image Mc=size(cover_object,1); %Height Nc=size(cover_object,2); %Width % read in the message image and reshape it into a vector file_name='_copyright.bmp'; message=double(imread(file_name)); T=message; Mm=size(message,1); %Height Nm=size(message,2); %Width % perform 1-level DWT for the whole cover image [cA1,cH1,cV1,cD1] = dwt2(cover_object,'haar'); % determine the size of cA1 [RcA1 CcA1]=size(cA1) % perform 2-level DWT for cA1 [cA2,cH2,cV2,cD2] = dwt2(cA1,'haar'); % determine the size of cA2 [RcA2 CcA2]=size(cA2) % set the value of blocksize blocksize=4 % reshape the watermark to a vector message_vector=round(reshape(message,Mm*Nm,1)./256); W=message_vector; % determine maximum message size based on cA2, and blocksize max_message=RcA2*CcA2/(blocksize^2) % check that the message isn't too large for cover if (length(message) max_message) error('Message too large to fit in Cover Object') end %----------------------- process the image in blocks ---------------------- x=1; y=1; for (kk = 1:length(message_vector)) [cA2u cA2s cA2v]=svd(cA2(y:y+blocksize-1,x:x+blocksize-1)); % if message bit contains zero, modify S of the original image if (message_vector(kk) == 0) cA2s = cA2s*(1 + alpha); % otherwise mask is filled with zeros else cA2s=cA2s; end cA22(y:y+blocksize-1,x:x+blocksize-1)=cA2u*cA2s*cA2v; % move to next block of mask along x; If at end of row, move to next row if (x+blocksize) >= CcA2 x=1; y=y+blocksize; else x=x+blocksize; end end % perform IDWT CAA1 = idwt2(cA22,cH2,cV2,cD2,'haar',[RcA1,CcA1]); watermarked_image= idwt2(CAA1,cH1,cV1,cD1,'haar',[Mc,Nc]); % convert back to uint8 watermarked_image_uint8=uint8(watermarked_image); % write watermarked Image to file imwrite(watermarked_image_uint8,'dwt_watermarked.bmp','bmp'); % display watermarked image figure(1) imshow(watermarked_image_uint8,[]) title('Watermarked Image') %(2) ---------------------------------------------------------------------- %---------- Extract Watermark from attacked watermarked image ------------- %-------------------------------------------------------------------------- % read in the watermarked object file_name='dwt_watermarked.bmp'; watermarked_image=double(imread(file_name)); % determine size of watermarked image Mw=size(watermarked_image,1); %Height Nw=size(watermarked_image,2); %Width % perform 1-level DWT for the whole watermarked image [ca1,ch1,cv1,cd1] = dwt2(watermarked_image,'haar'); % determine the size of ca1 [Rca1 Cca1]=size(ca1); % perform 2-level DWT for ca1 [ca2,ch2,cv2,cd2] = dwt2(ca1,'haar'); % determine the size of ca2 [Rca2 Cca2]=size(ca2); % process the image in blocks % for each block get a bit for message x=1; y=1; for (kk = 1:length(message_vector)) % sets correlation to 1 when patterns are identical to avoid /0 errors % otherwise calcluate difference between the cover image and the % watermarked image [cA2u cA2s cA2v]=svd(cA2(y:y+blocksize-1,x:x+blocksize-1)); [ca2u1 ca2s1 ca2v1]=svd(ca2(y:y+blocksize-1,x:x+blocksize-1)); correlation(kk)=diag(ca2s1-cA2s)'*diag(ca2s1-cA2s)/(alpha*alpha)/(diag(cA2s)*diag(cA2s)); % move on to next block. At and of row move to next row if (x+blocksize) >= Cca2 x=1; y=y+blocksize; else x=x+blocksize; end end % if correlation exceeds average correlation correlation(kk)=correlation(kk)+mean(correlation(1:Mm*Nm)); for kk = 1:length(correlation) if (correlation(kk) > thresh*alpha);%thresh*mean(correlation(1:Mo*No))) message_vector(kk)=0; end end % reshape the message vector and display recovered watermark. figure(2) message=reshape(message_vector(1:Mm*Nm),Mm,Nm); imshow(message,[]) title('Recovered Watermark') % display processing time elapsed_time=cputime-start_time, please do help,its my graduation project and i have been trying this code for along time but failed miserable. Thanks in advance

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  • why cookie.getMaxAge() = -1?

    - by wavelet
    i have a test like this : cookie.jsp: <html> <head> </head> <body> <% String cookieName="SNS"; Cookie cookie=new Cookie(cookieName, "maxAgeTest"); cookie.setMaxAge(60*60); response.addCookie(cookie); %> </body> </html> and read.jsp is : <html> <head> </head> <body> <table border=1> <tr><td>Name</td><td>value</td></tr> <% Cookie cookies[]=request.getCookies(); Cookie sCookie=null; String svalue=null; String sname=null; int sage ; for(int i=0;i<cookies.length;i++) { sCookie=cookies[i]; svalue=sCookie.getValue(); sname=sCookie.getName(); sage=sCookie.getMaxAge(); %> <tr><td><%=sname%></td><td><%=svalue%></td><td><%=sage%></td></tr> <% } %> </table> </body> </html> but the result is : Name value maxAge JSESSIONID DB3561A47B37FCA8CA25EA04B80A26C7 -1 SNS maxAgeTest -1 why the maxAge is -1 ? and t test IE8,Chrome5,Safari ,the result same

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  • how to config grails1.2 with oscache?

    - by wavelet
    I do this : DataSource.groovy: hibernate { cache.use_second_level_cache=true cache.use_query_cache=true cache.provider_class='com.opensymphony.oscache.hibernate.OSCacheProvider' } and in BuildConfig.groovy: inherits( "global" ) { // uncomment to disable ehcache excludes 'ehcache' } runtime ("opensymphony:oscache:2.4.1") { excludes 'jms', 'commons-logging', 'servlet-api' } but i only get this error : commons.DefaultGrailsApplication The class [com.ai.scenter.service.reschange.ResourceChangeAdapter] was not found when attempting to load Grails application. Skipping. commons.DefaultGrailsApplication The class [com.ai.scenter.service.reschange.ResourceChangeService] was not found when attempting to load Grails application. Skipping. hibernate.ConfigurableLocalSessionFactoryBean There was an error configuring the Hibernate second level cache: could not instantiate CacheProvider [com.opensymphony.oscache.hibernate.OSCacheProvide] hibernate.ConfigurableLocalSessionFactoryBean This is normally due to one of two reasons. Either you have incorrectly specified the cache provider class name in [DataSource.groovy] or you do not have the cache provider on your classpath (eg. runtime ("net.sf.ehcache:ehcache:1.6.1")) how can i do it?

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  • how to initialize spring bean from database

    - by wavelet
    hi,i use spring security and my config is in database: <sec:http auto-config="true" entry-point-ref="casProcessingFilterEntryPoint"> <sec:remember-me /> <sec:session-management> <sec:concurrency-control max-sessions="1" error-if-maximum-exceeded="true" /> </sec:session-management> <sec:logout logout-success-url="${host.url}/logout/" /> <sec:custom-filter ref="casAuthenticationFilter" after="CAS_FILTER" /> <sec:custom-filter ref="filterInvocationInterceptor" before="FILTER_SECURITY_INTERCEPTOR" /> </sec:http> like ${host.url} is in database how can i initialize ?

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  • Training sets for AdaBoost algorithm

    - by palau1
    How do you find the negative and positive training data sets of Haar features for the AdaBoost algorithm? So say you have a certain type of blob that you want to locate in an image and there are several of them in your entire array - how do you go about training it? I'd appreciate a nontechnical explanation as much as possible. I'm new to this. Thanks.

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  • Machine learning - training step

    - by palau1
    When you're using Haar-like features for your training data for an Adaboost algorithm, how do you build your data sets? Do you literally have to find thousands of positive and negative samples? There must be a more efficient way of doing this... I'm trying to analyze images in matlab (not faces) and am relatively new to image processing.

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