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:: Volume 6, Issue 1 (1-2020) ::
2020, 6(1): 66-84 Back to browse issues page
A Nonlinear Grayscale Morphological and Unsupervised method for Human Facial Synthesis Based on an Example Image
Amirreza Amirfathiyan , Hossein Ebrahimnezhad *
Faculty of Electrical Engineering, Sahand University of Technology, Tabriz , ebrahimnezhad@sut.ac.ir
Abstract:   (9046 Views)

Human facial generation of example image is used as a requirement for biometric applications for the purpose of identifying individuals. In this paper, face generation consists of three main steps. In the first step, detection of significant lines and edges of the example image are carried out using nonlinear grayscale morphology. Then, hair areas are identified from the face of sample. The final step combines images from previous steps. Similarity and matching between synthesized face sketch and artistic sketch are compared with two methods of extracting features, Principle Component Analysis and Linear Discriminant Analysis, and time of the process is calculated. The experiments on the pair of CUHK database images show that the proposed method compared with state of the art methods such as: Eigen transformation, LLE, and MRF, has no computational complexity and creates a person's face with good quality and much less time. Matching of synthesized face sketch of the proposed method is achieved with a maximum value of 90% when Linear Discriminant Analysis is used to extract feature. The proposed method is also resistant to background effects and brightness of example images.

Keywords: Face Sketch Synthesis, Photo to Sketch Synthesis, Photo to Sketch Mapping, Morphological Edge-Detection, Human Facial Synthesis
Full-Text [PDF 1218 kb]   (827 Downloads)    
Type of Study: Research | Subject: Machine Vision
Received: 2018/07/14 | Accepted: 2019/03/17 | Published: 2020/01/22
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amirfathiyan A, ebrahimnezhad H. A Nonlinear Grayscale Morphological and Unsupervised method for Human Facial Synthesis Based on an Example Image. Nonlinear Systems in Electrical Engineering 2020; 6 (1) :66-84
URL: http://journals.sut.ac.ir/jnsee/article-1-198-en.html


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Volume 6, Issue 1 (1-2020) Back to browse issues page
سامانه های غیرخطی در مهندسی برق Journal of Nonlinear Systems in Electrical Engineering
نشریه سامانه‌های غیرخطی در مهندسی برق در خصوص اصول اخلاقی انتشار مقاله، از توصیه‌های «کمیته بین‌المللی اخلاق نشر» موسوم به COPE و «منشور و موازین اخلاق پژوهش» مصوب معاونت پژوهش و فناوری وزارت علوم، تحقیقات و فناوری تبعیت می‌کند.
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