Improved color image segmentation based on RGB and HSI
- Amit Kumar
- vandana thakur
- Puneet Ranout
Color Image segmentation, RGB and HIS color model, thresholding, Median filter.
In this paper we uses the two color space system for color image segmentation i.e. RGB and HSI.Both follows the same procedure. It divided into five steps. In first step the traditional Otsu method for grey channel image segmentation is applied to all R, G and B channel separately to get the automatic threshold for each channel. These thresholds of each channel are integrated to formulate a new colored image. The new integrated image is suffers from distortion. In second step, to avoid this distortion median filter is applied to smoothened and the increase the segmented regions of the image. In third step, Otsu method is also applied to the each channel of HSI separately to determine the automatic threshold .And then to remove the distortion in step four median filters is applied. In fifth step, the median filter of RGB image is subtracted from the HSI image, which gives difference between the values of the RGB image .Experimented results are presented on a variety of images which support the purposed algorithm.
Amit Kumar, vandana thakur, Puneet Ranout. "Improved color image segmentation based on RGB and HSI".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.969-988, URL :https://rjwave.org/ijedr/papers/IJEDR1502170.pdf
Volume 3 Issue 2
Pages. 969-988
