Masses Detection in Digital Mammogram by Gray Level Reduction using Texture coding Method
نویسندگان
چکیده
منابع مشابه
Identification of masses in digital mammogram using gray level co-occurrence matrices
Digital mammogram has become the most effective technique for early breast cancer detection modality. Digital mammogram takes an electronic image of the breast and stores it directly in a computer. The aim of this study is to develop an automated system for assisting the analysis of digital mammograms. Computer image processing techniques will be applied to enhance images and this is followed b...
متن کاملSuperresolution using gray level coding.
In this paper we describe a super-resolving approach based upon gray level coding of the information. Thus, the imaged object should have limited number of gray levels. The proposed approach overcomes the resolution limitations caused either by the optics or by the finite size of the detector. In contrast to other existing super resolution techniques that use time or wavelength multiplexing, in...
متن کاملDetection of Abnormal Masses in Mammogram Images
Masses in the breast can be located in digital mammogram images by computationally analysing various feature statistics from the image. Any algorithm used to analyse digital mammogram images can be both time-consuming and errorprone because many areas of these images appear to have features that are mass-like but not masses. Thus false positives are produced which detract from the effectiveness...
متن کاملContent based mammogram retrieval using Gray Level Aura Matrix
Diagnosis of breast cancer in mammograms is also for specialists a difficult and error-prone task. A good opportunity to support radiologists in their decision is to find similar mammograms out of a database to compare the current case with past cases. In this work a complete content based image retrieval (CBIR) system for mass and calcification class mammograms has been implemented under usage...
متن کاملAutomated Digital Mammogram Segmentation for Detection of Abnormal Masses Using Binary Homogeneity Enhancement Algorithm
Many image processing techniques have been developed over the past two decades to help radiologists in diagnosing breast cancer. At the same time, many studies proven that an early diagnosis of breast cancer can increase the survival rate, thus making screening programmes a mandatory step for females. Radiologists have to examine a large number of images. Digital Mammogram has emerged as the mo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/3555-4887