Mammographic Image Enhancement Using Wavelet Transform
Document Type : Research Paper
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Abstract
Mammography is the most effective method for the early diagnosis and treatment of breast cancer diseases. Mammographic images contain low signal to noise ratio and low contrast, hence it becomes too difficult for radiologists to analyze mammogram. To deal with above stated problems, it’s very important to enhance the mammographic images using image processing methods.More recently multiscale techniques have sparked the interest of the researchers for contrast enhancement of the images, especially wavelet transform This paper introduces a new image enhancement approach for mammographic images, which uses low pass filter, modified mathematical morphology, wavelet transform and homomorphic filter to suppress the noise of images. For performance evaluation of the proposed algorithm, contrast improvement index (CII) and edge preservation index (EPI) are adopted. Experimental results on mammographic images from databases show that the proposed algorithm improved contrast improvement index and edge preservation index so we can reach to the goal of enhancing mammographic images using wavelet transform.
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