International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 126

Research Paper | Electronics & Communication Engineering | India | Volume 6 Issue 5, May 2017


Human Body Extraction From Single Images Based on the Multiple Segmentation Algorithm and SPLINE Approach

Manjushri Warad | S. B. Mudda


Abstract: Human body extraction is a challenging task in the digital image processing and the intense research is carried out in the past years to solve the problems associated with it. The past algorithms partially succeed in achieving the desired results with approximate performance in terms of extracting the exact human body from the associated image on which it lies. In the proposed method a three segment algorithm, namely skin detection, upper body segmentation and lower body segmentation are implemented to extract the exact human body segmentation based on the multiple image segmentation algorithm, the extracted data needs to be perceived in a better way and that is done using the super pixel approach. The experimental results and the contributed SPLINE approach achieved better results than the traditional state-of-art methods.


Keywords: Human body extraction, Skin detection, Upper body segmentation, Lower body segmentation, SPLINE approach


Edition: Volume 6 Issue 5, May 2017,


Pages: 334 - 340


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How to Cite this Article?

Manjushri Warad, S. B. Mudda, "Human Body Extraction From Single Images Based on the Multiple Segmentation Algorithm and SPLINE Approach", International Journal of Science and Research (IJSR), Volume 6 Issue 5, May 2017, pp. 334-340, https://www.ijsr.net/get_abstract.php?paper_id=ART2017717

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