Comparison of Shadow Detection based on HSV and YCbCr Color Space
Aye Aye Win · International Journal of Progressive Sciences and Technologies (Medical University Varna) · 2019
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 YC b C r color spaces and is compared these two color models for getting higher shadow detection rate. The HSV and YC b C r color spaces are evaluated by Thresholding Method using the MATLAB programming. The foreground and background objects are detected by using HSV and YC b C r Color Space. According to the result, The HSV color Space is detected shadows more effectively than YC b C r even though applying auto Thresholding Method in both color spaces.