Skin Detection using OpenCV and Python


Skin Detection using OpenCV and Python

100 in stock

SKU: Skin Detection using OpenCV and Python Categories: ,


Skin Detection using OpenCV and Python

Skin detection is the process of finding skin-colored pixels and regions in an image or a video. Skin detection applications are used for personality recognition, body-parts tracking, gesture analysis and adult content filtering and etc.The implemented skin detector converts the image into required color space and then uses the image histogram to mark each pixel: whether it belongs to skin. Image pixels are grouped in superpixels using the SLIC clustering method . Thus, advantages of our skin detector are high processing speed and invariance under rotation and lighting changes. The main steps of skin detection in the image are: 1. download the input image; 2. convert image to HSV color space; 3. generate the image histogram; 4. apply classifier to determine the probability of a given pixel being skincolored; 

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