A method for removing small area noises in a binary image based on a stack theory
A binary image, small-area technology, applied in image enhancement, image data processing, instruments, etc., to achieve short running time, low complexity, and good denoising effect
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[0019] Based on stack theory to remove such as figure 1 For the method of small area noise in the binary image shown, set the threshold to 5000, and proceed as follows:
[0020] a. When the stack is empty, sequentially scan each pixel in the binary image that is not stacked;
[0021] b. If the current pixel is black, push the current pixel to the stack and mark that the pixel is already on the stack;
[0022] c. The stack is not empty at this time, the top of the stack is popped out and the area of the connected area is incrementally recorded, and at the same time, eight points around the marked pixels are scanned sequentially;
[0023] d. Cycle steps b and c, scan the entire connected area, determine whether the connected area is less than the set threshold, if yes, remove the connected area; if not, keep it.
[0024] Repeat steps a~d until the entire binary image is scanned once to remove all noise.
[0025] Because the number of pixels in the small noise area (generally the number o...
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