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.
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Mishra, A., Ranjan, P., Kumar, S., Ujlayan, A. (2019). From Cognitive Psychology to Image Segmentation: A Change of Perspective. In: Sarma, H., Borah, S., Dutta, N. (eds) Advances in Communication, Cloud, and Big Data. Lecture Notes in Networks and Systems, vol 31. Springer, Singapore. https://doi.org/10.1007/978-981-10-8911-4_7
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DOI: https://doi.org/10.1007/978-981-10-8911-4_7
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