A Robust Automated Brain Cancer Cell Segmentation Using Color Scheme Mapping At Different Hyper Spectral Density

Research Article
Akshath M J and Sheshadri H.S
DOI: 
http://dx.doi.org/10.24327/ijrsr.2018.0902.1585
Subject: 
Engineering
KeyWords: 
Color segmentation, MRI, Quantization level, high frequency component.
Abstract: 

The novel concept of preprocessing and color segmentation is defined for brain cancer cell detection. The color scheme makes the human persistence of vision better with good analysis and better justification. Different banding of frequencies at different level decided the level of quantization level is defined. In this proposed paper 8 different quantization levels for the frequency band estimation are used and there by detect color segmentation of cancerous cells. The precision of the color segmentation is decided by the sharp edges or immediate transaction of the pixel information values. The proposed work identifies even the smallest segment of the cell with automated technique.Each slice of images extracts information at different frequencywhich provides the high frequency information about the presence of tumour.