One of the important feature of human appearance is hair. Specifically it was shown that hair is a prominent cue and that changes in hairstyle or facial hair can mislead the observer in the recognition of faces .Based on the hair sample we can estimate the texture of the skin and based on shape of the hair we can recognize the nature of skin .In this we mainly discussed about one of the skin problem which is caused due to dandruff on the hair scalp. We designed flow based on the acne problem occurred due to the dandruff on hair scalp.
INTRODUCTION: Hair is the most important feature which adds beauty to the person .It assumed to be present at one or more of three principle locations adjacent …show more content…
Our algorithm is divided into two steps. Firstly, we take information from frequential and color analysis in order to create binary masks as descriptor of the hair location. Secondly, we perform a 'matting treatment' which is a process to extract foreground object from an image. This approach is based on markers which positions are initialized from the fusion of frequential and color masks. Matting treatment result is use to segment the hair at the end. The results obtained in this paper can be evaluated using semi- manual segmentation references.
A Compositional Exemplar-Based Model for Hair Segmentation Robust and accurate hair segmentation is difficult because of challenging variation of hair color and shape. Here we have a novel compositional exemplar-based Model (CEM) for hair style segmentation. CEM generates an adaptive hair style for the input image automatically in the manner of Divide-and-Conquer, which can be divided into decomposition stage and composition stage naturally. For the decomposition stage, we learn a strong ranker based on a group of weak similarity functions emphasizing the Semantic layout similarity effectively; in the composition stage, we introduce the Neighbor label