Publication Type:

Book Chapter


Lecture Notes in Computational Vision and Biomechanics, Springer Netherlands, Volume 28, p.512-522 (2018)

URL: 10.1007/978-3-319-71767-8_44


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.


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Cite this Research Publication

S. Sathya, Dr. Latha Parameswaran, and Karthika, R., “Query by Example—Retrieval of Images using Object Segmentation and Distance Measure”, in Lecture Notes in Computational Vision and Biomechanics, vol. 28, Springer Netherlands, 2018, pp. 512-522.