I. Laurence Aroquiaraj

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Literature survey is most important for understanding and gaining much more knowledge about specific area of a subject. In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc... to search user required image from large image(More)
Feature Selection (FS) aims to determine a minimal feature subset from a problem domain while retaining a suitably high accuracy in representing the original features. Rough set theory (RST) has been used as such a tool with much success. In the supervised FS methods, various feature subsets are evaluated using an evaluation function or metric to select(More)
Detection of micro calcification based on textural image segmentation and classification is the most effective early-diagnosis of breast cancer. The aim of segmentation is to extract a breast region by estimation of a breast skin-line and a pectoral muscle as well as removing radiographic artifacts and the background of the mammogram. The intensity value is(More)
Feature Selection (FS) aims to determine a minimal feature subset from a problem domain while retaining a suitably high accuracy in representing the original features. Rough set theory (RST) has been used as such a tool with much success. In the supervised FS methods, various feature subsets are evaluated using an evaluation function or metric to select(More)
Breast region segmentation is an essential prerequisite in computerized analysis of mammograms. It aims at separating the breast tissue from the background of the mammogram and it includes two independent segmentations. The first segments the background region which usually contains annotations, labels and frames from the whole breast region, while the(More)
Feature means countenance, remote sensing scene objects with similar characteristics, associated to interesting scene elements in the image formation process. They are classified into three types in image processing, that is low, middle and high. Low level features are color, texture and middle level feature is shape and high level feature is semantic gap(More)
120 Comparative Analysis of Speckle Filtering Techniques I. Laurence Aroquiaraj , K. Thangavel, R. Manavalan, Department of Computer Science, Periyar University, Salem – 636 011, Tamil Nadu, India. Email* :laurence.raj@gmail.com, Email : drktvelu@yahoo.com Department of Computer Science and Application. K.S.R. College of Arts and Science, Tiruchengode – 637(More)
Breast Cancer involves the uncontrolled growth of abnormal cells that have mutated from normal tissues. A radiologist looks for certain signs and characteristics indicative of cancer when evaluating a mammogram. The main task is to obtain the locations of suspicious regions to assist radiologists in diagnosis. Image segmentation has been approached from a(More)
Mass classification of objects is an important area of research and application in a variety of fields. In this paper, we present an efficient computer-aided mass classification method in digitized mammograms using Fuzzy K-Nearest Neighbour Equality (FK-NNE), which performs benign or malignant classification on region of interest that contains mass. One of(More)
Mammograms are the soft X-rays kind of imaging technique used for the detection of any lesions or cysts in breasts. Digital mammograms have many kinds of artifacts that affect the accuracy of the detection of tumor tissues in the automated Computer Aided Detection (CAD) system for mammograms. Preprocessing helps to remove such artifacts is an important(More)