Publication Type:

Journal Article

Source:

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

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042398787&doi=10.1007%2f978-3-319-71767-8_44&partnerID=40&md5=52f2c759c1d7878c5b1d91fc649c3992

Abstract:

<p>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. © 2018, Springer International Publishing AG.</p>

Notes:

cited By 0

Cite this Research Publication

S. Sathya, Parameswaran, L., and Karthika, R., “Query by example—retrieval of images using object segmentation and distance measure”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 512-522, 2018.

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