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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 5.2

International Journal of Applied Research

Vol. 1, Issue 9, Part G (2015)

Image Processing and Object Detection

Author(s)
Nidhi
Abstract
With the advancement of modern technologies areas related to robotics and computer vision, real time image processing has become a major technology under consideration. So I tried a novel approach for capturing images from the computer web cam in real time environment and process them as we are required. By using open source computer vision library (OpenCV for short), an image can be captured on the bases of its hue, saturation and color value (HSV) range. The basic library functions for image handling and processing are used. Basic library functions are used for loading an image, creating windows to hold image at run time, saving images, and to differentiate images based on their color values. I have also applied function to threshold the output image in order to decrease the distortion in it. While processing, the images are converted from their basic scheme Red, Green, and Blue (RGB) to a more suitable one that is HSV.
Pages: 396-399  |  464 Views  21 Downloads
How to cite this article:
Nidhi. Image Processing and Object Detection. 2015; 1(9): 396-399.
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