Neuro-Fuzzy Logic to Exploit and Classify MRI Brain Based Neoplasm and Execution of Lossless Compression

摘要

In the recent years classification and compression plays a vital role in digital communication and their mishmash is handy for pull out explicit data and compress the classified data. In this paper we proposed a technique for mishmash of classification and compression in MRI brain images. Here we progress a computerized tumor recognition system for MRI brain images trailed by lossless compression technique in order to reduce the usage of data storage space. A neuro-fuzzy classifier is used to exploit and catalogue MRI brain based neoplasm and we use haar wavelet compression to compress the classified images.