May TheYu

Work place: University of Computer Studies, Mandalay, Myanmar

E-mail: maytheyu@ucsm.edu.mm

Website:

Research Interests: Image Processing, Image Manipulation, Image Compression

Biography

May The` Yu received the Ph.D in Information Technology from the University of Computer Studies, Yangon at 2014. She is presently serving as an associate professor, Faculty of Information Science, University of Computer Studies, Mandalay. Her research interest is Image Processing.

Author Articles
Analysis on Skin Colour Model Using Adaptive Threshold Values for Hand Segmentation

By Phyu Myo Thwe May TheYu

DOI: https://doi.org/10.5815/ijigsp.2019.09.03, Pub. Date: 8 Sep. 2019

The hand gesture recognition system is the hottest topic for the human-machine interaction and computer vision fields. The hand gesture recognition system is still a challenging research area in computer vision for human-computer interaction because of various device conditions, various illumination effects, and very complex background. The recognition of hand gestures used in various application areas: such as sign language recognition, man-machine interaction, human-robot interaction, and intelligent device control and many other application areas. The robust detection of hand in hand gesture recognition system has become a challenging task due to clutter background, dynamic background, and various illumination conditions in real-world conditions. Segmentation is the partioning/separating the foreground hand region from the background region in an image. Segmentation is also pre-processing steps of the hand gesture recognition system. The recognition accuracy will increase if the hand region correctly detected. So, hand region detection is the main important step for the hand gesture recognition system. 

[...] Read more.
Attention-Based Deep Learning Model for Image Captioning: A Comparative Study

By Phyu Phyu Khaing May TheYu

DOI: https://doi.org/10.5815/ijigsp.2019.06.01, Pub. Date: 8 Jun. 2019

Image captioning is the description generated from images. Generating the caption of an image is one part of computer vision or image processing from artificial intelligence (AI). Image captioning is also the bridge between the vision process and natural language process. In image captioning, there are two parts: sentence based generation and single word generation. Deep Learning has become the main driver of many new applications and is also much more accessible in terms of the learning curve. Image captioning by applying deep learning model can enhance the description accuracy. Attention mechanisms are the upward trend in the model of deep learning for image caption generation. This paper proposes the comparative study for attention-based deep learning model for image captioning. This presents the basic analyzing techniques for performance, advantages, and weakness. This also discusses the datasets for image captioning and the evaluation metrics to test the accuracy. 

[...] Read more.
Other Articles