An Improved Image Segmentation Algorithm

In the field of image processing, image segmentation is an important technology. We process the region of interest after segmenting, and analysis the useful information. This paper presents an improved Canny image segmentation algorithm, which is based on the theory threshold segmentation method combined with edge detection method. In order to improve the edge detection algorithm, we choose many kinds of photos to finish simulation experiment, and compare the effects between the traditional Canny segmentation algorithm to the improved segmentation algorithm. We find segmentation results of the new algorithm is well, it can preserve the image boundary characteristics, and separate the target and the background information. This algorithm makes the target image clearer, and it can achieve the desired effect.