Recognition of partially occluded objects based on the three different color spaces (RGB, YCbCr, HSV)
The aim of this study is to propose an algorithm that can recognize partially occluded objects under different variations by computing three histograms of colour spaces (RGB, HSV, YCbCr). The dataset used in this research are from kitchen apparatuses. It is created by the researcher and include two...
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Main Authors: | , , , |
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Format: | Article |
Published: |
Springer Science + Business Media
2015
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/55228/ http://dx.doi.org/10.1007/s13319-015-0052-9 |
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Institution: | Universiti Teknologi Malaysia |
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