Ryerson University, Toronto, ON, Canada.
Adv Exp Med Biol. 2010;680:619-26. doi: 10.1007/978-1-4419-5913-3_68.
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.
本章提出了一种基于模糊的乳腺 X 光图像对比度增强方法。所需变换的适当参数的选择是根据图像的具体特征进行的。该方法的第一步是提取乳房边界。然后,使用特定函数将图像转换到模糊域。接下来,应用一种强度自适应算法,根据模糊程度,提出的技术确定合适的修改形式来增强图像。实验结果证明了我们的方法是有效的,因此有可能用于计算机辅助诊断系统。