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

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.