Proceeding of

NCAICN National Conference 2013



Advances in

Computing & Networking


A Special Issue of

International Journal of Computer Science and Applications



Hon. Shri Sundeepji Meghe

(Chairman, Vidarbha Youth Welfare Society, Amravati)



Dr. V.T. Ingole (FIE, FIETE, Professor Emeritus)


Organizing Committee


Dr. D.T. Ingole (FIE, FIETE)

(Principal PRMIT & R, Badnera and  Chairman IEI  Amravati Center).


 Er. A.W. Jawanjal

(Honorary Secretary IEI, Amravati Center)


Dr. G.R. Bamnote ((FIE, FIETE)

(H.O.D. Computer Science & Engineering)

Dr. A.S. Alvi (MIE)

(H.O.D. Information Technology))

Prof. Mrs. M.D. Ingole (FIE.MIETE)

(H.O.D. Electronics & Telecommunication)


Prof. S.V. Dhopte ((FIE, FIETE)

Prof. Ms. V.M. Deshmukh (FIE, FIETE)

Dr. S.W. Mohod  (FIE,FIETE)


Dr. S.R. Gupta (MIE, MIETE)

Prof. S.V. Pattalwar ((FIE, FIETE)

Prof. M.D. Damahe


Prof. Mrs. M.S. Joshi                

Dr. S.M. Deshmukh

Prof. V.U. Kale

Prof. S.S. Kulkarni

Prof. Ms. R.R. Tuteja

Prof. Ms. J.N. Ingole

Prof. V.R. Raut

Prof. C.N. Deshmukh

Prof. Ms. M.S. Deshmukh

Prof. S.P. Akarte

Prof. Mrs. A.P. Deshmukh

Prof. Mrs. S.S. Sikchi

Prof. N.N. Khalsa

Department of Information and Computer Science and Engineering

Prof. Ram Meghe Institute of Technology and Research, Badnera Distt. Amravati



Prof. K. H. Walse





IJCSA ISSN: 0974-1011 (Online) >>    

Morphollogical Image Segmentation Analysis

Akshay P. Vartak and Dr. Vijay Mankar


Fritz  Zwicky  pioneered  the  development   of  General  MorphologicaAnalysis  (GMA)  as  a method for investigating the totality of relationships contained in multi-dimensional, non- quantifiable problem complexes. During the past two decades, GMA has been extended, computerized  and  employed fostructuring  complex  policy  and  planning  issues,  developing scenario and  strategy  laboratories,  and  analyzing  organizational  and  stakeholder structures.

A morphological image segmentation technique based on the watershed algorithm is proposed. New morphological based pre-processing and post-processing techniques are proposed to reduce over-segmentation, by means of merging and removing spurious segments. The preprocessing aims at removing trivial regions as well as background noise. The post-processing produces a more concise region representation of the watershed-segmented image, where a region adjacency list (RAL) is built for the region merging process. The proposed technique produces effective and significant results in successfully segmenting various objects when tested on a series of well known test images, as shown in this paper.

2013 International Journal of Computer Science and Applications 

Published by Research Publications, India