Region Based Image Compression and Feature Point Detection Using DCT and Cellular Automata

Biomedical data, such as MRI, MEG, EEG or optical imaging data, present a challenge to any data processing software. Feature point detection has many parameters such as edge detection, corner detection and blob detection (region of interest). Compression technique is used to reduce the size of image over selected region over medical image. So that it will helpful to transfer over WLAN. This paper has two parts first to remove the noise and enhance the medical images with compression and second part is the use of morphological operators to obtain region of interest, excluding the smaller and larger areas for obtaining region by Harris corner detection and cellular automata concept.