Detection of Tumours in Digital Mammograms Using Wavelet Based Adaptive Windowing Method

Abstract

In this paper, wavelet based adaptive windowing method is presented for the segmentation of bright targets in an image. Coarse segmentation is proposed by using wavelet based histogram thresholding where, the thereshold value is chosen by performing 1-D wavelet based analysis of PDFs of wavelet transformed images at different channels. Final segmented result is obtained by choosing threshold by using windowing method. The simulation results show that the proposed method is mammograms and it effective to segment can also the be tumors in used in other segmentation applications. Simulation results show that the proposed algorithms yield significantly superior image quality when it is compared to the Global thresholding method and window based adaptive thresholding method.