Parasite Detection Using Spatial Relationship Approach

Abstract

In this paper, human hookworm detection is based on spatial relationship between consecutive WCE image was proposed, aiming to reduce the number of image a clinician need to review. This method includes four stages they are preprocessing stage, tubular detection, feature extraction and classification stage. In preprocessing stage it includes noise reduction using guided filter and RGB to gray conversion. In second stage multi scale dual matched filter was used for tubular detection of hookworm and finally spatial classifier was proposed to classify wireless capsule endoscopy (WCE) images. The classification result will help to identify the presence of hookworm in WCE image. The accuracy value of the proposed method will be compared with existing method.

Authors and Affiliations

K. Divya, Mr. J. Madhan Mohan

Keywords

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  • EP ID EP24601
  • DOI -
  • Views 331
  • Downloads 11

How To Cite

K. Divya, Mr. J. Madhan Mohan (2017). Parasite Detection Using Spatial Relationship Approach. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(6), -. https://europub.co.uk/articles/-A-24601