The research of image segmentation mainly includes: how to select the appropriate color space, reduce complexity algorithm, improve noise resistance and universality etc. Fuzzy clustering is an unsupervised classification method, which can classify samples with similar properties without prior knowledge. This paper briefly describes working principle performance comparison these algorithms.

Never before in history has image data been generated at such high volumes as it is today. If images are analyzed properly, they can reveal useful information to the users. Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. Image clustering involves the extraction of features from image databases and then...

Image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the image. Image denoising refers to the recovery of a digital image that has been contaminated by additive white Gaussian noise. In Existing a patch-based Wiener filter ...