A New Contour Detection in Mammogram Using Sequential Edge Linking
ABSTRACT A novel approach is presented to extract the contour of a region of interest (ROI) in mammogram. It combines the threshold segmentation method and sequential edge linking (SEL) algorithm. The salient area is located according to human visual characteristics, and then the optimal threshold is obtained and applied to the whole image. The binary image is processed by the SEL algorithm. Experiments show that the proposed method offers excellent ability to suppress noise and false edges. It can extract the precise and continuous contour of an ROI in mammogram.
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ABSTRACT: Breast cancer is the leading cause of deaths among female cancer patients. Mammography is the most effective technique for breast cancer screening and detection of abnormalities. However, early detection of breast cancer is dependent on both the radiologist’s ability to read mammograms and the quality of mammogram images. The aim of this paper is to conduct a comprehensive survey of existing mammogram enhancement and segmentation techniques. Each method is classified, analyzed, and compared against other approaches. To examine the accuracy of the mammogram enhancement and segmentation techniques, the sensitivity and specificity of the approaches is presented and compared where applicable. Finally, this research provides taxonomy for the available approaches and highlights the best available enhancement and segmentation methods.The 13th International Arab Conference on Information Technology; 12/2012
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ABSTRACT: Heuristic Search is an important sub-discipline of optimization theory and finds applications in a vast variety of fields, including life science and engineering. Over the years, search meth‐ ods have made an increasing number of appearances in engineering systems, primarily be‐ cause of the capability in providing effective near-optimum solutions with low-complexity, more cost-effective and less time consuming. Heuristic Search is a method that might not al‐ ways find the best solution but is guaranteed to find a good solution in reasonable time, i.e., by sacrificing completeness it increases efficiency. Search methods have been useful in solving tough engineering-oriented problems that either could not be solved any other way or solu‐ tions take a very long time to be computed. The primary goal of this book is to provide a variety of applications for search methods and techniques in different fields of electrical engineering. By organizing relevant results and appli‐ cations, the book will serve as a useful resource for students, researchers and practitioners to further exploit the potential of search methods in solving hard non-polynomial optimization problems that arise in advanced engineering technologies, such as image and video processing issues, detection and resource allocation in telecommunication systems, security and harmonic reduction in power generation systems, as well as redundancy optimization problem and search-fuzzy learning mechanisms in industrial applications. To better explore those engineer‐ ing-oriented search methods, this book is organized in four parts. In Part 1, three search optimi‐ zation procedures applied to image and video processing are discussed. In Part 2, three specific hard optimization problems that arise in telecommunications systems are solved using guided search procedures: multiuser detection, power-rate allocation, anomaly detection and routing optical channel allocation problems are treaded deploying a collection of guided-search algo‐ rithms, such as Ant Colony, Particle Swarm, Genetic, Simulation Annealing, Tabu, Evolutionary Programming, Neighborhood Search and Hyper-Heuristic. Search methods applied to power systems and industrial processes are developed in Part 3: cognitive concepts and methods, such as fuzzy cognitive maps and adaptive fuzzy learning mechanisms are aggregated in order to efficiently model and solve optimization problems found in reliable power generation and in‐ dustrial applications. Finally, the last chapter is devoted to conceptual and formal aspects of Grover-type quantum search, which constitutes Part 4. It is our sincere hope that the book will help readers to further explore the potential of search methods in solving efficiently hard-complexity engineering optimization problems.01/2013; , ISBN: 978-953-51-0983-9
E.T.S.I. de Telecomunicación, Universidad Politécnica de Madrid, 01/2011, Degree: Ph.D., Supervisor: Prof. Diego Andina and Prof. Mo Jamshidi