Book Chapter

From cognitive psychology to image segmentation: A change of perspective

Abstract

Image segmentation is a complex and essential task used in many computer vision applications. The problem of image segmentation can essentially be formulated as a grouping problem which in its simplest form tries to group the pixels of image into distinguished regions of interest so that further processing of the extracted regions can be achieved. This work proposes an image segmentation model which is inspired by the findings in cognitive psychology theories to divide the image into separate coherent regions. The proposed work tries to correlate between human and machine cognition by studying the segmentation process under the light of psychology of human vision.

Attached files

Authors

Mishra, Anju
Ranjan, Priya
Kumar, Sanjay
Ujlayan, Amit

Oxford Brookes departments

Faculty of Health and Life Sciences\Department of Sport, Health Sciences and Social Work

Dates

Year of publication: 2018
Date of RADAR deposit: 2019-01-16

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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Related resources

This RADAR resource is the Accepted Manuscript of From cognitive psychology to image segmentation: A change of perspective
This RADAR resource is Part of Advances in communication, cloud, and big data (ISBN: 9789811089107)