NDLI: New shape descriptor in the context of edge continuity

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New shape descriptor in the context of edge continuity

Content Provider	IET Digital Library
Author	Susan, Seba Agrawal, Prachi Mittal, Minni Bansal, Srishti
Abstract	The object contour is a significant cue for identifying and categorising objects. The current work is motivated by indicative researches that attribute object contours to edge information. The spatial continuity exhibited by the edge pixels belonging to the object contour make these different from the noisy edge pixels belonging to the background clutter. In this study, the authors seek to quantify the object contour from a relative count of the adjacent edge pixels that are oriented in the four possible directions, and measure using exponential functions the continuity of each edge over the next adjacent pixel in that direction. The resulting computationally simple, low-dimensional feature set, called as ‘edge continuity features’, can successfully distinguish between object contours and at the same time discriminate intra-class contour variations, as proved by the high accuracies of object recognition achieved on a challenging subset of the Caltech-256 dataset. Grey-to-RGB template matching with City-block distance is implemented that makes the object recognition pipeline independent of the actual colour of the object, but at the same time incorporates colour edge information for discrimination. Comparison with the state-of-the-art validates the efficiency of the proposed approach.
Starting Page	101
Ending Page	109
Page Count	9
Volume Number	4
e-ISSN	24682322
Issue Number	Issue 2, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/trit/4/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0002
Journal	CAAI Transactions on Intelligence Technology
Publisher	The Institution of Engineering and Technology Chongqing University of Technology Chinese Association for Artificial Intelligence
Publisher Date	2019-04-24
Access Restriction	Open
Rights License	Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Subject Keyword	Adjacent Edge Pixel Adjacent Pixel Colour Edge Information Computer Vision And Image Processing Technique Edge Continuity Features Edge Detection Feature Extraction Identifying Categorising Objects Image Colour Analysis Image Recognition Image Representation Intra-class Contour Variations Knowledge Engineering Technique Learning in AI Noisy Edge Pixel Object Contour Object Recognition Object Recognition Pipeline Optical, Image And Video Signal Processing Statistics
Content Type	Text
Resource Type	Article

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