Image Segmentation Using Local Thresholding And Ycbcr Color Space

In this experiment a system has been developed that uses threshold values to segment an image. An image is treated as a one dimensional array of pixel values. In this work, the segmentation is performed in YCbCr color space. In this experiment, the segmented image will have 2 different colors, which are black and white, and for this reason the segmentation is done using local thresholding value for Cb component of YCbCr. A mask is used to determine the neighbors of each pixel in the image. The mask also determines an operation to be applied to the neighborhood of every pixel in the image. Now the mask and the operations are used to determine the local threshold for every pixel in the image. For each pixel location the threshold will be different. This value is compared with the color value of the pixel. If the value of the pixel in this location is greater than or equal to the specified threshold for the pixel then it is labeled as 1. Otherwise if it is smaller, then it is labeled as 0.In this way we get an image with two color values. Keyword: Image, segmentation, local thresholding, YCbCr.