Identification of Precise Object among Various Objects using Sparse Coding

@article{Jose2016IdentificationOP,
  title={Identification of Precise Object among Various Objects using Sparse Coding},
  author={Giby Jose and P. Manimegalai},
  journal={International Journal of Computer Applications},
  year={2016},
  volume={154},
  pages={24-28}
}
  • G. Jose, P. Manimegalai
  • Published 17 November 2016
  • Computer Science
  • International Journal of Computer Applications
In order to identify the exact coconut object form the image, the following methodology is proposed. The input image is preprocessed. Its quality is enhanced using histogram equalization to produce a better result for region-based feature extraction. The edges are then detected in the image segmentation process, as this information is most essential for the classifier algorithm. After detecting the edges the CHT algorithm is applied to identify the coconut. The performance measures viz… 
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An image processing with particle swarm optimization (PSO) method is introduced and results show that successful rate of the method to detect coconuts at the tree with cluttered background is 80% and then pluck them using the robot arm.
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Qualitative/quantitative measurement of software using cluster analysis is discussed, including all the three associated in the list of seven factors with software reliability performance.

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