How to find same-value rectangular areas of a given size in a matrix most efficiently?
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Published on 2011-01-11T10:39:54Z
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My problem is very simple but I haven't found an efficient implementation yet.
Suppose there is a matrix A like this:
0 0 0 0 0 0 0
4 4 2 2 2 0 0
4 4 2 2 2 0 0
0 0 2 2 2 1 1
0 0 0 0 0 1 1
Now I want to find all starting positions of rectangular areas in this matrix which have a given size. An area is a subset of A where all numbers are the same.
Let's say width=2 and height=3. There are 3 areas which have this size:
2 2 2 2 0 0
2 2 2 2 0 0
2 2 2 2 0 0
The result of the function call would be a list of starting positions (x,y starting with 0) of those areas.
List((2,1),(3,1),(5,0))
The following is my current implementation. "Areas" are called "surfaces" here.
case class Dimension2D(width: Int, height: Int)
case class Position2D(x: Int, y: Int)
def findFlatSurfaces(matrix: Array[Array[Int]], surfaceSize: Dimension2D): List[Position2D] = {
val matrixWidth = matrix.length
val matrixHeight = matrix(0).length
var resultPositions: List[Position2D] = Nil
for (y <- 0 to matrixHeight - surfaceSize.height) {
var x = 0
while (x <= matrixWidth - surfaceSize.width) {
val topLeft = matrix(x)(y)
val topRight = matrix(x + surfaceSize.width - 1)(y)
val bottomLeft = matrix(x)(y + surfaceSize.height - 1)
val bottomRight = matrix(x + surfaceSize.width - 1)(y + surfaceSize.height - 1)
// investigate further if corners are equal
if (topLeft == bottomLeft && topLeft == topRight && topLeft == bottomRight) {
breakable {
for (sx <- x until x + surfaceSize.width;
sy <- y until y + surfaceSize.height) {
if (matrix(sx)(sy) != topLeft) {
x = if (x == sx) sx + 1 else sx
break
}
}
// found one!
resultPositions ::= Position2D(x, y)
x += 1
}
} else if (topRight != bottomRight) {
// can skip x a bit as there won't be a valid match in current row in this area
x += surfaceSize.width
} else {
x += 1
}
}
}
return resultPositions
}
I already tried to include some optimizations in it but I am sure that there are far better solutions. Is there a matlab function existing for it which I could port? I'm also wondering whether this problem has its own name as I didn't exactly know what to google for.
Thanks for thinking about it! I'm excited to see your proposals or solutions :)
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