Image Automatic Categorisation using Selected Features Attained from Integrated Non-Subsampled Contourlet with Multiphase Level Sets

  • Rajyalakshmi Uppada Aditya Engineering College Kakinada Andhra Pradesh
  • Koteswara Rao Sanagapallela KL University Vijayawada
  • Satya Prasad Kodati
Keywords: Contourlet transform, Adaptive Marker Controlled Watershed approach, Multiphase Level Sets, MC-SVM classification, biomedical and defence applications,


A framework of automatic detection and categorization of Breast Cancer (BC) biopsy images utilizing significant interpretable features is initially considered in discussed work. Appropriate efficient techniques are engaged in layout steps of the discussed framework. Different steps include 1.To emphasize the edge particulars of tissue structure; the distinguished Non-Subsampled Contourlet (NSC) transform is implemented. 2. For the demarcation of cells from background, k-means, Adaptive Size Marker Controlled Watershed, two proposed integrated methodologies were discussed. Proposed Method-II, an integrated approach of NSC and Multiphase Level Sets is preferred to other segmentation practices as it proves better performance 3. In feature extraction phase, extracted 13 shape morphology, 33 textural (includes 6 histogram, 22 Haralick’s, 3 Tamura’s, 2 Graylevel Run-Length Matrix,) and 2 intensity features from partitioned tissue images for 96 trained images

Author Biographies

Rajyalakshmi Uppada, Aditya Engineering College Kakinada Andhra Pradesh
Dr. Rajyalakshmi Uppada is presently working as a professor in Aditya Engineering College, Surampalem, Kakinada. Earlier she worked as Research Associate under WOS-A, DST for 3 years at JNTUK, Kakinada, India. During her 10 years of teaching experience, she has published 12 journal papers and presented 6 international conference papers. She completed her Ph.D from JNTU Kakinada.
Koteswara Rao Sanagapallela, KL University Vijayawada

Dr. Koteswararao Sanagapallela is presently working as a Professor in KL University, Vijayawada, India. He has retired as a Scientist ‘G’, Associate Director, NSTL. He has published 30 IEEE papers. With his thirty two years of design and development experience and expertise in the Anti Submarine warfare (ASW) Fire Control Systems for torpedoes and rocket launchers, he have created a strong edifice in the weapon technology in the country at NSTL. His salient contributions towards the goals are Submarine Fire Control System, Ship Fire Control System, Helicopter Fire Control System, Anti Torpedo Defence System, Advanced Ship Fire Control System.

Satya Prasad Kodati

Dr. Satyaprasad Kodati   is presently working as Sr. Professor in Electronics & Communication department & Rector, Vignan's Foundation for Science, Technology & Research, Vadlamudi, Guntur.  He retired as a Professor in Electronics & Communication department and Director-IST, JNTU Kakinada, Kakinada, India. He has 35 years of teaching experience, 21 years of research experience, guided 29 Ph.D scholars and guiding 16 students for PhD.  He has held different positions as Head of ECE Department, vice-principal, principal of UCEK, JNTUK, and as Director of Evaluation and Rector at JNTUK, Kakinada. He has published more than 70 Journal Publications and he has presented more than 50 conference proceedings.


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How to Cite
Uppada, R., Sanagapallela, K., & Kodati, S. (2018). Image Automatic Categorisation using Selected Features Attained from Integrated Non-Subsampled Contourlet with Multiphase Level Sets. Defence Life Science Journal, 4(1), 67-75.
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