Abstract. This paper presents a variational level set approach to joint segmentation and bias correction of images with intensity inhomogeneity. Our method is based on an observati...
Chunming Li, Rui Huang, Zhaohua Ding, Chris Gat...
In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
In this paper we describe a robust approach to segment text from color images. The proposed approach mainly includes four steps. Firstly, a preprocessing step is utilized to enhan...
Active Appearance Model (AAM) [1] had been popular on object segmentation for medical images. However, its performance is not good on Ultrasound (US) images. In this paper, we pro...
Feng Cen, Hung-Tat Tsui, Tze Kin Lau, Yifeng Jiang...
Hand-coded vision systems are problematic in complex medical domains and are hard to change as new information emerges. Knowledge-Engineering and Machine Learning approaches to in...