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Automated assessment of hepatic fat fraction is clinically important. A robust and precise segmentation would enable accurate, objective and consistent measurement of liver fat fraction for disease quantification, therapy monitoring and drug development. However, segmenting the liver in clinical trials is a challenging task due to the variability of liver anatomy as well as the diverse sources the...
The tissue quantification in the thigh (e.g. cross-sectional areas of adipose tissue and muscle) is important, since their quantities reflect adverse metabolic effects and muscle function. Traditional manual analysis is time-consuming and operator-dependent, especially in the case of multi-slices or 3D datasets. In clinical trials, there are a large amount of datasets acquired from magnetic resonance...
Thresholding a gray-level image into two levels is the first step and also a critical part in most document image analysis systems since any error in this stage will propagate to all later analysis. Various algorithms have been proposed over past years, however, with a complex background, problem remains unsolved. In this paper, we proposed a new document image binary method which is based on the...
Time-lapse microscopy imaging serves as an important method to measure the cycle progression of individual cells in a large population. The lacking of automatic systems that can deal with large volume of time-lapse optical microscopy imaging is a bottleneck of modern bio-imaging research. In this paper we present an effective computerized method for overlapping cell nuclei detection in time-lapse...
In this paper, we present a graph-based approach to automatically detect defective zebrafish embryos. Here, the zebrafish is segmented from the background using a texture descriptor and morphological operations. In this way, we can represent the embryo shape as a graph, for which we propose a vectorisation method to recover clique histogram vectors for classification. The clique histogram represents...
Based on the features of video content, this paper addresses the system of detecting pornographic videos. The system makes use of an improved algorithm for shot segmentation based on clustering and then extracts key frames. It converts the detection of video to identification of key frames. We use the skin color detection to detect the key frames which have been extracted. The experimental results...
A system for the recognition and checkout of legal amounts on Chinese bank cheques was presented in the paper. Firstly, pianpang recognizer was proposed to combine any pianpang into a neighbor segment. Then, the width model of characters was proposed to determine the predicted positions of split lines. Finally, an efficient state transfer model was proposed to conduct Subset-based recognition. Experiments...
This paper presents a new trademark image retrieval method based on the region orientation information entropy. In the first stage, image is rotated according to principal orientation, and the object region in the rotated image is extracted. Then, the object region is partitioned into a lot of sub-blocks. In the third stage, the information entropy of each partitioned region is computed, which construct...
A fast method for vanishing point (VP) estimation and tracking in road images and its application for lane detection are investigated in this paper. After determine the region of interest of the road images, we use 'Sobel' operator to detect boundaries. Then the boundary image is transformed to the Hough space by Hough transform. We proposed a Gaussian predication model on the basis of the latest...
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