An Efficient Color Image Segmentation using Edge Detection and Thresholding Methods

An Efficient Color Image Segmentation using Edge Detection and Thresholding Methods T.Arunachalam* Post Graduate Student, P.G. Dept. of Computer Science, Govt Arts College, Melur 625 106 [email protected] ----------------------------------------------------------------------Abstract -------------------------------------------------------------This paper to perform efficient color image segmentation by using the two image segmentation techniques that is edge detection and image Thresholding and comparing the result. Segmentation is the process of partitioning a digital image into multiple regions known as region of interest for further images analysis process we perform pre-processing steps which involves different operations to produce a clear digital image so that it can be used directly and efficiently for image segmentation. In edge detection technique and edge is typically extracted by computing the derivative of the Image function. Thresholding segmentation is method, which separates an image into two meaningful regions foreground and background through a selected threshold value. This work develops an image segmentation methods based on the modified edge scheme where different thresholds are automatically determined according to areas with varied contents in a picture, thus yielding suitable segmentation result in different areas. The iterative threshold selection technique is modified to calculate the initial-point threshold of the whole image or a particular block. The proposed method is demonstrated to take the least computational time for achieving fairly good segmentation performance in various image types.