Chakka Raja.M.’s scientific contributions

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Publications (1)


Figure 1. Schematic diagram of OWT  
Overlap Wavelet Transform for Image Segmentation
  • Article
  • Full-text available

May 2014

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260 Reads

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66 Citations

SSRN Electronic Journal

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A.S.Senthilkani

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Praghash.k

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[...]

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I.Annadurai

A new color image segmentation approach based on OWT is presented in this work. OWT extracts wavelet features which give a good separation of different patterns. Moreover the proposed algorithm uses morphological operators for effective segmentation. From the qualitative and quantitative results, it is concluded that our proposed method has improved segmentation quality and it is reliable, fast and can be used with reduced computational complexity than direct applications of Histogram Clustering. The main advantage of this method is the use of single parameter and also very faster. While comparing with five color spaces, segmentation scheme produces results noticeably better in RGB color space compared to all other color spaces.

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Citations (1)


... IMOWT is efficient because of its time effectiveness, flexibility and translation invariance which are useful for good segmentation results. [50] proposed a system in which OWT extracts wavelet features which give a good separation of different patterns. Moreover the proposed algorithm uses morphological operators for effective segmentation. ...

Reference:

Call for Papers - Journal of Electrical Systems (JES), E-ISSN: 1112-5209, indexed in Scopus & Web of Science
Overlap Wavelet Transform for Image Segmentation

SSRN Electronic Journal