Lip contour extraction using elliptical model
Shahnewaz Ali · 2016
Lip features and contour detection is an important aspect of computer vision, having many application domains. This research conveys various aspects of the related topics and presents an elliptical mathematical approach followed by image processing methods such as morphological operation to extract lip contour. Lip contour detection starts from mouth area which is segmented from face image area and then it fits an elliptical contour on lip area by evaluating image features such as edges and corner points thus identify lips and its properties. Later morphological approach is introduced to eliminate and compensate contour points. This application is suitable to run on embedded electronic devices specially considered Advanced RISC Machine, well known as ARM. Face detection itself a complicated task thus core application perform several image processing steps to define face area properly. In the domain of Human Computer Interface System human skin color is determined by using color map. This is also a necessary component for face area detection. This research conveys necessary information regarding this issue such as color space and classification which have pivotal role to define Lip Contour from a detected face area.