HOOKWORM DETECTION USING WIRELESS CAPSULE ENDOSCOPY IMAGES
Abstract & Details
Research Area
ELECTRONICS AND INSTRUMENTATION ENGINEERING
Keywords
GLCM
Guided filter
WCE
Abstract
The main aim of this project is to capture the properties of hookworms, GLCM technique is first applied to detect the location of hookworm and then the Guided Filter is used to reduce the distortion. To differentiate the unique visual features of hookworm from different components of gastrointestinal structure, Morphological operation is been proposed to locate their exact tubular structure. Wireless capsule endoscopy (WCE) has become a popular diagnostic technique to examine inflammatory bowel diseases and disorders. As one of the most common human helminths, hookworm is a kind of small tubular structure with grayish white or pinkish semi-transparent body, by which a number of 600 million people are infected around the world. Hookworm detection is a difficult task due to poor image quality, presence of extraneous matters, typical structure of gastrointestinal, and diverse appearances in terms of color and texture. The resultant images in the proposed approach achieves a outstanding performance. Moreover, sensitivity will be high in detecting hookworms indicates the potential of our approach for future clinical application.
License
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Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | E.Vinodhini | PANIMALAR ENGINEERING COLLEGE |
| 2 | P.SOWMYA | PANIMALAR ENGINEERING COLLEGE |
| 3 | R.SASI | PANIMALAR ENGINEERING COLLEGE |
How to Cite
Use the following formats to cite this article in your research.
APA Style
E.Vinodhini, P.SOWMYA, & R.SASI (2017). HOOKWORM DETECTION USING WIRELESS CAPSULE ENDOSCOPY IMAGES. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 1995-2002.
MLA Style
E.Vinodhini, et al. "HOOKWORM DETECTION USING WIRELESS CAPSULE ENDOSCOPY IMAGES." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 1995-2002.
IEEE Style
E.Vinodhini, P.SOWMYA, and R.SASI, "HOOKWORM DETECTION USING WIRELESS CAPSULE ENDOSCOPY IMAGES," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 1995-2002, 2017.
Vancouver Style
E.Vinodhini, P.SOWMYA, R.SASI. HOOKWORM DETECTION USING WIRELESS CAPSULE ENDOSCOPY IMAGES. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):1995-2002.
Harvard Style
E.Vinodhini, P.SOWMYA, & R.SASI (2017) 'HOOKWORM DETECTION USING WIRELESS CAPSULE ENDOSCOPY IMAGES', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 1995-2002.
Chicago Style
E.Vinodhini, P.SOWMYA, and R.SASI. "HOOKWORM DETECTION USING WIRELESS CAPSULE ENDOSCOPY IMAGES." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1995-2002.
Turabian Style
E.Vinodhini, P.SOWMYA, and R.SASI. "HOOKWORM DETECTION USING WIRELESS CAPSULE ENDOSCOPY IMAGES." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1995-2002.
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