In this paper fuzzy relation equations are used for compression/decompression process of color images. The results of the reconstructed images are compared. The compression is performed using fuzzy relation equations of min-t type, where t stands for the t-norm. The decompression process is realized via fuzzy relation equation of max-t type. And root means square error (RMSE) and peak signal noise ratio (PSNR) have been evaluated and compared the decompressed images with respect to the original image under different compression rates. Also the properties of images as clustering in images are studied under the Pattern recognition.
Keywords: – Fuzzy theory, Clustering, Matlab.
Anchal Neha, Prof. D. Pandey