e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Apr 2019 - Volume 10, Issue 2
Deadline: 5 Apr 2019
Notification: 15 Apr 2019
Publication: 30 Apr 2019

June 2019 - Volume 10, Issue 3
Deadline: 5 June 2019
Notification: 15 June 2019
Publication: 30 June 2019

Indexed in

ABSTRACT

Title : Performance Evolution of Various Wavelets in Cervical Lesion Detection
Authors : P S RAMAPRABA, H. RANGANATHAN
Keywords : DWT, cervical cancer, KNN.
Issue Date : Dec 2013-Jan 2014
Abstract :
Cervical cancer is one of most common cancers among women in the world caused by human papilloma virus infection. It develops in the tissue of cervix which connects upper body of the uterus to the vagina. The types of cancer are squamous cell carcinoma, adeno carcinoma and adeno squamous carcinoma based on location of cervix where cancer develops. In this paper, an automatic detection of squamous cell carcinoma in cervical images based on Discrete Wavelet Transform (DWT) and K-Nearest Neighbor (KNN) classifier is described. The energy features are extracted from DWT decomposed image of small area of cervical images. Then the features are fed into KNN classifier to classify whether the given area is normal or cancer affected region. The performance of the proposed system is evaluated by using three wavelets namely bi-orthogonal (bior3.7), Daubechies-8(db8) and Symlet (sym8). Experimental results show the performance of db8 with other wavelets that produces 97.22% average accuracy.
Page(s) : 481-485
ISSN : 0976-5166
Source : Vol. 4, No.6