期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
卷号：3
期号：3
页码：10053
出版社：S&S Publications
摘要：The disease is curable if detected early stage. Screening is carried out on the basis of mammo gram; this is used in x-ray image to reveal lumps in the breast. Calcium deposit can also indicate the existence of a tumor in breast. Mammography is proven as efficient tool to detect breast cancer before clinical symptoms appears digital mammography is currently considered as standard procedure for breast cancer diagnosis, various artificial intelligence techniques are used for classification problems i n the area of medical diagnosis. Several type of feature extraction is from digital mammograms including position feature, shape feature and texture features etc. Feature extraction of image is important in mammogram classification. These features are extracted by using image processing. Texture features have proven to be useful in differentiating normal and abnormal cells. Extracted texture features provide information about textural characteristics of the image. MLE (Maximum Likelihood Estimation) and wav elet transforms is used to calculate the area and also showing the affected area. This helps to determine the depth of tumor. Here .0. is showing as black and .1. is showing as white. Pre-processing method used as a small neighborhood of a pixel in an input image to get a new brightness value in output image, also called as Filtration. Breast cancer is a type of cancer originating from breast tissues, and most co mmonly this is originated from the inner lining of milk ducts. Breast cancer occurs in human and other mammals also.
关键词：Digital mammograms; Maximum Likelihood Estimation; Wavelet transform
