RGB colour detection on images using Hue, saturation and value (HSV) colour space

Zaidon, Amyra Sofea (2020) RGB colour detection on images using Hue, saturation and value (HSV) colour space. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Colour detection has a wide range of applications in different industries such as textiles, automation, automotive, food, printing, pharmaceutical, etc. Colour detection is the process of detecting the name of any color but specifically in this paper, Red, Green and Blue (RGB) colour channels will be detect on images. The techniques used to detect color in images are to transform original image to RGB image. By evaluating the RGB values for each pixel present in the image, this pixel color is identified. Then, using the hue histogram, the hue and saturation (HS) plane and the hue and value (HV) plane, Hue, Saturation and Value (HSV) technique is applied after converting the RGB image. Based on the information obtained from two planes, the databases can be constructed to decrease runtime and increase the recognition accuracy rate of the identifying object. The algorithm is designed using the MATLAB toolbox for the image processing. The performance of the RGB colour detection is also analysed based on the HSV technique as it is particularly important so it can be apply for quality assurance, to maintain good productivity and cost savings.

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