Image Segmentation using Watershed Transformation for Facial Expression Recognition

Facial expression recognition plays an important role in various applications. The most lenient way in expressing emotion is by facial expression. There are several facial features that are affected namely the eyes, eyebrows and mouth. Hence, this paper will highlight the segmentation process to obtain the regions of interest. First and foremost, the face localization is done to obtain the face region. In this phase, the background of the image will be eliminated and certain hair is removed. Then, the image will undergo the watershed transformation. In this paper, the Japanese Female Facial Expression (JAFFE) database is used for experimental purposes.

[1]  Luc Vincent,et al.  Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[3]  Saburo Tsuji,et al.  Recognizing human facial expressions in a potential field , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

[4]  Larry S. Davis,et al.  Recognizing Human Facial Expressions From Long Image Sequences Using Optical Flow , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Toru Yamaguchi,et al.  Model of knowledge, emotion and awareness , 1997, Proceedings 6th IEEE International Workshop on Robot and Human Communication. RO-MAN'97 SENDAI.

[6]  Yillbyung Lee,et al.  Facial expression recognition based on two-dimensional structure of emotion , 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.

[7]  Pascale Massin,et al.  A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina , 2002, IEEE Transactions on Medical Imaging.

[8]  Shohei Kato,et al.  A system of dialogical mental health care with sensibility technology communication robot , 2003, MHS2003. Proceedings of 2003 International Symposium on Micromechatronics and Human Science (IEEE Cat. No.03TH8717).

[9]  Xiaoli Yang,et al.  Watershed segmentation for binary images with different distance transforms , 2004, Proceedings. Second International Conference on Creating, Connecting and Collaborating through Computing.

[10]  Hamzah Arof,et al.  Face localization for facial features extraction using a symmetrical filter and linear Hough transform , 2007, Artificial Life and Robotics.