Výsledky vyhledávání - "Aroquiaraj, I. Laurence"

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Mass Classification Method in Mammogram Using Fuzzy K-Nearest Neighbour Equality

Autor: Aroquiaraj, I. Laurence, Thangavel, K.

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 Neighbor Equality,

Externí odkaz: http://arxiv.org/abs/1406.4770

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Pectoral Muscles Suppression in Digital Mammograms using Hybridization of Soft Computing Methods

Autor: Aroquiaraj, I. Laurence, Thangavel, K.

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 backgro

Externí odkaz: http://arxiv.org/abs/1401.0870

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Content Based Image Retrieval System using Feature Classification with Modified KNN Algorithm

Autor: Dharani, T., Aroquiaraj, I. Laurence

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

Externí odkaz: http://arxiv.org/abs/1307.4717

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Mammogram Edge Detection Using Hybrid Soft Computing Methods

Autor: Aroquiaraj, I. Laurence, Thangavel, K.

Image segmentation is a crucial step in a wide range of method image processing systems. It is useful in visualization of the different objects present in the image. In spite of the several methods available in the literature, image segmentation stil

Externí odkaz: http://arxiv.org/abs/1307.4516

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