Comparative Study of Wavelet Adaptive Windowing Method an Effective Technique for Tumor Detection in Mammilla (Bosom)
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Review Papers | Computer Science & Engineering | India | Volume 2 Issue 2, February 2013

Comparative Study of Wavelet Adaptive Windowing Method an Effective Technique for Tumor Detection in Mammilla (Bosom)

Jayashree R.Parate, R.K.Krishna

Mammography is the study of the breast using x rays. The original l test is called a mammogram. It is an x ray of the breast which shows the fatty and glandular tissue. A diagnostic mammogram is for evaluation of abnormalities in women. The purpose of screening mammography is breast cancer detection. Mammography generally consists of two subsystems. One is a tumor-mass detection system and the other is a clustered-micro calcification detection system. In this paper, by using wavelet based adaptive windowing technique, the breast tumour can be highlighted. Techniques are goes under three progressive steps; Coarse segmentation, Fine segmentation and intensity adjustment. First step can be performed by using wavelet based histogram thresholding where, by using 1D wavelet based analysis, the threshold value is chosen. Fine segmentation can be done by segmenting the image into finite number of big and small windows then threshold value has been obtained by calculating the mean, maximum and minimum pixel values for the windows based on that threshold values the shady areas have been segmented. Preprocessing step is applied to improve the quality of an image before implementing the proposed technique. Mini MIAS database shows that the proposed technique is capable of detecting tumors of very graze shapes.

Keywords: wavelet based Thresholding, breast cancer, mammography, window based Thresholding, segmentation

Edition: Volume 2 Issue 2, February 2013

Pages: 191 - 199

Share this Article

How to Cite this Article?

Jayashree R.Parate, R.K.Krishna, "Comparative Study of Wavelet Adaptive Windowing Method an Effective Technique for Tumor Detection in Mammilla (Bosom)", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSRON2013391, Volume 2 Issue 2, February 2013, 191 - 199

126 PDF Views | 114 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'breast cancer'

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 826 - 829

Neural Systems Approach for Ammography Finding by Utilizing Wavelet Features

A. Mallareddy, A. Priyanka

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 4, April 2020

Pages: 1653 - 1655

Breast Cancer Diagnosis and Prediction Using Machine Learning Algorithm

Shilpa M, C. Nandini

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 2 Issue 2, February 2013

Pages: 191 - 199

Comparative Study of Wavelet Adaptive Windowing Method an Effective Technique for Tumor Detection in Mammilla (Bosom)

Jayashree R.Parate, R.K.Krishna

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 4, April 2016

Pages: 609 - 611

A Survey of Ontologies on Disease Classification

Sowkarthikaa.K, Sumathi V. P.

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 5 Issue 9, September 2016

Pages: 1550 - 1553

A Comparative Study of Machine Learning Algorithms applied to Predictive Breast Cancer Data

Kedar Potdar, Rishab Kinnerkar

Share this Article

Similar Articles with Keyword 'mammography'

Review Papers, Computer Science & Engineering, India, Volume 2 Issue 2, February 2013

Pages: 191 - 199

Comparative Study of Wavelet Adaptive Windowing Method an Effective Technique for Tumor Detection in Mammilla (Bosom)

Jayashree R.Parate, R.K.Krishna

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 8 Issue 4, April 2019

Pages: 168 - 170

A Review on Computer Aided Detection System for Mammographic Images

Pooja Chaudhari, P. B. Bhalerao

Share this Article

Similar Articles with Keyword 'segmentation'

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 2, February 2021

Pages: 1682 - 1686

Support Vector Machine Based MRI Brain Tumor Detection

Nazima Yousuf, Mrigana Walia

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 12, December 2020

Pages: 1615 - 1620

Traffic Sign Detection via Graph Based Ranking and Segmentation Algorithm

Premsai Cheedella

Share this Article

Research Paper, Computer Science & Engineering, China, Volume 10 Issue 1, January 2021

Pages: 1165 - 1168

A Capsule Robot Attitude Transformation Perception Method based on Intestinal Fold Features

Chengcheng Yan, Yanping Hu

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 4 Issue 9, September 2015

Pages: 1624 - 1627

Video Segmentation Using Global Motion Estimation and Compensation

Pallavi R. Wagh, Shubhangi Vaikole

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015

Pages: 1702 - 1705

An Adaptive Recursive Reconstruction Technique for Segmentation of Images

Peram Nagamani, Gunna Kishore

Share this Article
Top