International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,March 2017,

Topic : Track The Center of Colored Circular Objects Using Image Processing Techniques

Authors:Rohini Varansi || R Lavanya

Abstract:Computer Vision plays a major role in developing autonomous systems, surveillance, traffic systems and many more Space Applications. Robotic process automation (RPA) is the application of technology, that allows capturing and interpreting existing real world for processing applications like operations, manipulating data, triggering responses, simulated perception and communicating with other digital systems. The present work deals with Object detection and segmentation. The image is changed from the RGB color space to L*a*b* space. The three channels of L*a*b* color space are separated, and a single channel is selected depending upon the color under consideration. Next, genetic based color segmentation is performed on the single channel image to obtain the object of interest. This is the important and challenging fundamental task of computer vision. It is a critical part in many applications such as image search, scene understanding, etc. However, it is still an open problem due to the variety and complexity of object classes and backgrounds. The way to detect and segment an object from an image is the color based methods. The object and the background should have a significant color difference to successfully segment objects using color based methods. An attempt is made to develop a general flexible routine to track center of colored circular object using image processing technique. MATLAB image processing tool used to develop a general routine for the significant interface to the real world..

Keywords: Robotics Color Based Segmentation, Center, Tracking, Routine, MATLAB.

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DOI: 01.1617/vol4iss3pid003


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
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