Rib chest radiographs for detection of the cancer using double stage adaptive processing

Abstract

This paper suggests elegant two enhancement approaches for rib chest images. The first approach is based on adaptive contrast and luminance model (ACLM).The second approach is depended on mixing the Exponential Contrast Limited Adaptive Histogram Equalization model (ECLAHE) with the Local Histogram Equalization (LHE). The idea of this approach is depended on applying on rib chest radiograph and make optimization for clip limit for ECLAHE. This second algorithm has helped rib chest radiograph details are more important for the detection of cancerous cells. The performance qualities of the suggested models are entropy, average gradient, contrast factor, Sobel magnitude, lightness order error and the similarity of edges point of views. The second approach presents enhancement of rib chest images with better resolution visual details and quality metrics point of views with comparing the first approach.