Publication Type:

Conference Paper

Source:

IOP Conference Series: Materials Science and Engineering, IOP Publishing (2017)

URL:

https://doi.org/10.1088%2F1757-899x%2F225%2F1%2F012205

Abstract:

Vision is the key component of Artificial Intelligence and Automated Robotics. Sensors or Cameras are the sight organs for a robot. Only through this, they are able to locate themselves or identify the shape of a regular or an irregular object. This paper presents the method of Identification of an object based on color and contour recognition using a camera through digital image processing techniques for robotic applications. In order to identify the contour, shape matching technique is used, which takes the input data from the database provided, and uses it to identify the contour by checking for shape match. The shape match is based on the idea of iterating through each contour of the threshold image. The color is identified on HSV Scale, by approximating the desired range of values from the database. HSV data along with iteration is used for identifying a quadrilateral, which is our required contour. This algorithm could also be used in a non-deterministic plane, which only uses HSV values exclusively.

Cite this Research Publication

Rajesh Kannan Megalingam, Manoharan, S. K., Reddy, R. G., Sriteja, G., and Kashyap, A., “Color and Contour Based Identification of Stem of Coconut Bunch”, in IOP Conference Series: Materials Science and Engineering, 2017.

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