Enhancing Breast Ultrasound Images using Hough Transform

Abstract

Problem Statement: Highly widespread and foremost reason for cancer death among women is Breast cancer. It has turn out to be most important health concern in the world over the past 50 years, and its occurrence has mounted in recent years. Early detection is an efficient method to diagnose and supervise breast cancer. Computer-aided detection or diagnosis (CAD) systems can act a major function in the early detection of breast cancer and can decrease the death rate among women with breast cancer. Approach: The purpose of this paper is to provide a better CAD system which detects the cancer in early stages. The proposed system involves three phases such as speckle noise reduction, image enhancement and segmentation. For removing the speckle noise, this paper uses Memetic algorithm. Image enhancement is performed using Hough transform. Finally, the enhanced image is segmented using clustering technique called Modified Fuzzy Possibilistic C-Means technique with Repulsion factor to identify the cancer affected region Results: The proposed enhancement technique for breast ultrasound image is evaluated using the real time ultrasound images. The comparison is performed by means of Mean Square Error between the existing and proposed technique. Mean Square Error for the proposed approach is lesser when compared to the existing approach. Conclusion: The experimental result suggests that the proposed system results in better enhancement in ultrasound image when compared to the conventional technique.