Segmentation of Breast Thermogram Images for the Detection of Breast Cancer – A Projection Profile Approach
نویسندگان
چکیده
Breast Thermography is an emerging medical imaging tool, used for early detection of breast cancer. The growing tumor in the breast will cause the occurrence of some asymmetric heat patterns in the left and right breast. Asymmetry analysis of left and right breast is used for detecting the breast cancer from the breast thermogram images. This paper presents a method for segmenting the left and right breast from breast thermogram images using Projection Profile Approach. Horizontal Projection Profile (HPP) method is used for locating the lower and upper borders of the breast by detecting the inframammary fold and axilla curves of the breast respectively. Vertical Projection Profile (VPP) method is used for locating the left and right borders of the breast thermogram image, which detects the parabolic shape of the breast. The results of segmentation are satisfactory. Generalization of this method can be done for various types of breast thermogram images by standardizing the height, background and removal of the noise present in the image.
منابع مشابه
Breast abnormalities segmentation using the wavelet transform coefficients aggregation
Introduction: Breast cancer is the most common cancer among women in the world. The automatic detection of masses in digital mammograms is a challenging task and a major step in the development of breast cancer CAD systems. In this study, we introduce a new method for automatic detection of suspicious mass candidate (SMC) regions in a mammogram. Methods: Mammography is widely used for the early...
متن کاملDIAGNOSIS OF BREAST LESIONS USING THE LOCAL CHAN-VESE MODEL, HIERARCHICAL FUZZY PARTITIONING AND FUZZY DECISION TREE INDUCTION
Breast cancer is one of the leading causes of death among women. Mammography remains today the best technology to detect breast cancer, early and efficiently, to distinguish between benign and malignant diseases. Several techniques in image processing and analysis have been developed to address this problem. In this paper, we propose a new solution to the problem of computer aided detection and...
متن کاملImprovement of Breast Cancer Detection Using Non-subsampled Contourlet Transform and Super-Resolution Technique in Mammographic Images
Introduction Breast cancer is one of the most life-threatening conditions among women. Early detection of this disease is the only way to reduce the associated mortality rate. Mammography is a standard method for the early detection of breast cancer. Today, considering the importance of breast cancer detection, computer-aided detection techniques have been employed to increase the quality of ma...
متن کاملشبیه سازی پروفیل حرارتی پستان نرمال و سرطانی توسط نرم افزار فلوئنت
Background: It is well known that healthy and cancer cells are different in energy consumption. These differences lead to small changes in local temperature, so infrared thermal imaging (thermography) are applications for diagnosis of several types of cancer such as breast cancer. There are some problems in our country such as a variety of cultural and religious issues to take sample thermal im...
متن کاملDesigning an Algorithm for Cancerous Tissue Segmentation Using Adaptive K-means Cluttering and Discrete Wavelet Transform
Background: Breast cancer is currently one of the leading causes of death among women worldwide. The diagnosis and separation of cancerous tumors in mammographic imagesrequire accuracy, experience and time, and it has always posed itself as a major challenge to the radiologists and physicians. Objective: This paper proposes a new algorithm which draws on discrete wavelet transform and adaptive ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015