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Query by Example—Retrieval of Images Using Object Segmentation and Distance Measure

  • S. SathyaEmail author
  • Latha Parameswaran
  • R. Karthika
Conference paper
First Online:
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 28)

Abstract

Image segmentation is the process of extracting object and regions of interest which have applications in computer vision, object detection, classification of retrieval. Many researchers have developed algorithms for segmenting objects from digital images. This paper is an attempt to retrieve images based on existing segmentation algorithms and distance measures. A diverse dataset consisting of images of various categories has been used for experimentation and this work suggests the best segmentation algorithm for retrieving the best match for given query images using distance measures.

Keywords

Global threshold Multilevel threshold Active contour model Super pixels CCA Eucledian distance 
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Copyright information

© Springer International Publishing AG  2018

Authors and Affiliations

  1. 1.Department of Computer Science and Engineering, Department of Electronics and Communication EngineeringAmrita School of Engineering, Amrita Vishwa VidyapeethamCoimbatoreIndia

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