A fuzzy approach for contrast enhancement of mammography breast images.
This chapter presents a fuzzy-based method for contrast enhancement of mammography images. The selection of appropriate parameters for the required transformations is performed based on image-specific characteristics. The extraction of the breast border is the first step in this method. Images are then transformed to the fuzzy domain using a specific function. Next, an algorithm is applied for intensity adaptation where based on the amount of ambiguity, the proposed technique identifies the suitable form of modifications to enhance the image. Experimental results prove our method to be effective and hence of potential for use in computer-aided diagnosis systems.
Sahba
Farhang
F
Ryerson University, Toronto, ON, Canada. sahbafarhang@gmail.com
Venetsanopoulos
Anastasios
A
D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis / Q000000981:diagnostic imaging; D019295:Computational Biology; D003287:Contrast Media; D003936:Diagnosis, Computer-Assisted / Q000379:methods / Q000706:statistics & numerical data; D005260:Female; D017143:Fuzzy Logic; D006801:Humans; D008327:Mammography / Q000379:methods* / Q000706:statistics & numerical data*; D011856:Radiographic Image Enhancement / Q000379:methods*
D003287:Contrast Media