Face Detection using Image Morphology - A Review

作     者：Mandhala, Venkata Naresh Bhattacharyya, Debnath Kim, Tai-hoon 

作者机构：KL Univ Dept Comp Sci & Engn Vaddeswaram 522502 AP India Bharati Vidyapeeth Univ Coll Engn Dept Informat Technol Pune 411043 Maharashtra India Sungshin Womens Univ Dept Convergence Secur 249-1Dongseon Dong 3 Ga Seoul 136742 South Korea 

出 版 物：《INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS》 (Int. J. Secur. Appl.)

年 卷 期：2016年第10卷第4期

页      面：89-93页

核心收录：

主　　题：K-Means Clustering Algorithm Bresenham's Algorithm Graham scan Algorithm Image Morphology Template Matching 

摘      要：This paper presents an approach by various Algorithms stage by stage for Face Detection. It first detects the face portion, removing all other portion from an image. First it will remove the background and then the body or cloths portion of the image. To achieve this we propose an algorithm based on K-Mean clustering, Bresenham s algorithm, Graham Scan Algorithm. With the help of image morphology, algorithm will detect the skin texture of the face. Image opening and closing will help to get the skin texture. Using a nose template algorithm will find the nose tip by template matching method. Feature vectors are calculated with respect to the nose tip as the origin of 8 octants. Image moment provides a measure for variation in the skin. This total process is done by the feature extraction algorithm.