SEM Medical Image Processing using VLSI

Abstract

The aim of this paper is to reduce the size of the Scanning Electron Microscope (SEM) medical images for Tele-radiology applications using VLSI technology. From the highly magnified images, diseases can be deeply analyzed; an efficient way to measure blood cell count and it is also used to diagnose the presence of many life-threatening diseases such as leukemia, allergies, etc. SEM medical images such as lung, respiratory system, red blood cells, white blood cells, scaffold, kidney stone, etc., are taken for MIC (Medical Image Compression). Lossy image compression is used for compressing SEM medical images and discrete wavelet transform is used for this purpose. Modified Parallel and pipelined architecture (MPPA) is used for implementing SMIC. The area occupied by this architecture is very less and the speed of operation is high compared to other architectures.