Earticle

초록

영어

The aim of this paper is to develop an efficient and a powerful Matlab based graphical user interface to address the problem of image segmentation. We propose two approaches for segmenting images: An automatic marker controlled watershed segmentation for segmenting an entire image or a scene and a semiautomatic graph cut based segmentation using fixation points. Automatic Watershed segmentation with a Sobel edge detector is used to detect the gradient of an input image resulting in an image less sensitive to noise. To deal with the usual problem of over segmentation using watershed, marker controlled watershed transformation is applied further for segmenting an image. Fixation based graph cut segmentation allows the user to analyze the input image displayed on the screen and specify some hard constraints indicating the object of interest or target object by using the mouse interaction. Experiments are done on the publically available dataset and the results of the supervised evaluation methods are observed to be satisfactory and are demonstrated along with the manually segmented reference image or a ground truth image obtained from segmentation evaluation database

목차

Abstract
 1. Introduction
 2. Related Work
 3. Fixation based Graph cut Image Segmentation
  3.1 Graph Theory in Image Segmentation
 4. Watershed Image Segmentation
 5. Target Image Segmentation
 6. Results & Discussion
 7. Conclusion
 References

키워드

저자

• Anuradha.S.G [ Research Scholar, Department of Computer Science & Engineering, JNTUA, Anantapur, India ]
• K.Karibasappa [ Professor, The Oxford College of Engineering, Bangalore, India ]
• B.Eswar Reddy [ Professor, JNTUA College of Engineering at Kalikiri, Andhra Pradesh, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605