REAL TIME COLOR SEGMENTATION AND COLOR FILTERATION |
Author(s): |
| VANDIT GAJJAR , L. D. COLLEGE OF ENGINEERING |
Keywords: |
| human computer interaction, OpenCV, Camera module, RGB & HSV, Threshold, Enhanced Algorithms |
Abstract |
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This paper suggests new real time color segmentation and filtration features, i.e., separating primary colors for the intention of vision-based human–computer interplay. Vision-based human–computer interplay could be accomplished by determining segmented primary color areas. Still, one of the challenges of color-based target following is that color allocations would change in particular lighting circumstances. This paper presents analyses of color-based image segmentation and color based image filtration. The observations show that RGB are the default color used for segmentation proceeding. Real time video is captured from the camera and the video is transformed into number of real time frame images. This algorithm should monitor and process every frame image from the real-time video. Camera is used as an input device. Here image processing is done through OpenCV for color segmentation process. |
Other Details |
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Paper ID: NCACSETT4P082 Published in: Conference 10 : NCACSET 2017 Publication Date: 06/05/2017 Page(s): 209-211 |
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