Conference Proceedings

International Conference on Advances in Computer and Information Technology - ACIT 2013

Colour Histogram Based Colposcopy Cervical Image Classification

Author(s) : H. RANGANATHAN, P.S.RAMAPRABA

Abstract

In this paper colposcopy cervical image classification based on colour histogram and K Nearest Neighbor (KNN) is presented. The classification is achieved by extracting colour histogram features from the cervix. To extract the colour histogram features, the colour space of the given image is converted from RGB to CIE colour space because of its perceptual uniformity. KNN classifier is used to classify the cervical images into normal and abnormal images. The performance with overall sensitivity of 94.71% and accuracy of 93.75 % is achieved using k-NN classifier. The performance is evaluated using 240 images collected from the hospital.

Conference Title : International Conference on Advances in Computer and Information Technology - ACIT 2013
Conference Date(s) : May 04-05, 2013
Place : Hotel Shangri-La, Kuala Lumpur, Malaysia
No fo Author(s) : 2
DOI : 10.15224/978-981-07-6261-2-11
Page(s) : 51 - 53
Electronic ISBN : 978-981-07-6261-2
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