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A method is proposed to estimate the background in video sequences with dense moving objects. The velocity field is estimated by optical flow to determine the image areas occupied by moving objects. The background is estimated by an efficient averaging process within the regions excluding the moving objects, which overcomes the foreground-occluding problem in common averaging method in a dynamic environment...
To segment magnetic resonance image series is an interdisciplinary topic that involves both medical and computer science. It is one of the most important steps for medical diagnosis and quantitative analysis. This paper proposes an automatic segmentation method based on support vector machine (SVM). Feature vectors are generated according to both grayscale value and texture pattern of MR brain images...
Watershed transformation is a common technique for image segmentation. However, its use for medical image segmentation has been limited particularly due to over-segmentation. In response to the characteristics of medical image, especially the contour extraction from the MRI (magnetic resonance imaging) brain image, this paper proposes an improved method in order to overcome the drawbacks. Firstly,...
A nature-inspired method of image feature extraction is proposed based on the ant swarm system. The perceptual graph is proposed to represent the relationship between adjacent image points, from which the image features can be extracted. The ant colony system is applied to build the perceptual graph. Edge feature extraction and image segmentation are implemented with the proposed method. The experimental...
For feature extraction in medical images, the scale-rate is proposed to represent local spatial or temporal complexity in medical images. The scale-rate is applied in automatic echocardiogram analysis. The experimental results show that the proposed method is effective and has promising application in automatic echocardiogram segmentation. Moreover, the directional spatial distribution of the scale-rate...
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