Comparison of Shadow Detection based on HSV and YCbCr Color Space

Aye Aye Win

Abstract


The shadow detection of moving vehicle is a prominent task for all system of vision by computer. Therefore, this study is analyzed the image pixel values of shadows and vehicles based on HSV and YCbCr color spaces and is compared these two color models for getting higher shadow detection rate. The HSV and YCbCr color spaces are evaluated by Thresholding Method using the MATLAB programming. The foreground and background objects are detected by using HSV and YCbCr Color Space. According to the result, The HSV color Space is detected shadows more effectively than YCbCr even though applying auto Thresholding Method in both color spaces.


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References


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DOI: http://dx.doi.org/10.52155/ijpsat.v16.1.1221

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