Visual up Gradation of Mammogram Image Using Grey Scale Extending Techniques

Breast cancer is the most common of all cancers affecting women in the developed countries. More middle-age women die of breast cancer than of any other single cause. This paper gives the idea about the Early Detection of Breast Cancer with some preprocessing steps. Grey scale Extending is basically improving the Interpretability or perception of information in an image for human viewers and providing better input for other automated image processing techniques. The principal objective of gray scale extending of a Mammogram Image is to modify the image to make it more suitable for finding the tumor cell location in the Breast. In grey scales extending Where Considerable background noise or variation in contrast and illumination exists, Local thresholding technique is more suitable than that of Global one. In this paper we are discussed about Local and Global thresholding to improve the visual up gradation of a Mammogram Image and Java as an image processing tool was used. With this technique we conclude that the proposed method is will performs more effectively for visual up gradation of mammogram image for further image processing steps . After further image processing steps like Triangulation we can find the location of different contracts cells in an image. This giving extra aid to radiologists to detect and classify the mammograms of breast cancer.