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Based on wavelet multiresolution analysis theory, medical image are analyzed. Each wavelet coefficient is viewed as an observation and is judged if it belongs to the wavelet transform modulus maximum(WTMM). Then we employ an extended Ostu threshold algorithm to determine the global and multilevel thresholds so as to delete those false modulus maximum points with gray level values of pixels less than...
Active contours, or snakes, have been used widely for image segmentation. A novel method incorporating geodesic curves and region information is introduced. The extra region force gives the active contour model a global complementary view of the boundary information within the image. The proposed method incorporates edge information, namely edgeflow, into active contours. We refer to this as edgeflow-driven...
The denoising of a noisy image using wavelet methods is very representative, however, the wavelet methods may smooth the edges while denoising and the optimal thresholds are hardly acquired. In this paper, an efficient algorithm of image denoising based on multi-objective optimization in the discrete curvelet transform (DCT) domain is proposed, which can achieve the Pareto optimal denoised image with...
Split-merge algorithm is a general approach for image segmentation based on region growing. Firstly a new merge criterion is proposed to reduce the execution time of the algorithm by decreasing the number of iterations at the merge stage. Then, two strategies for its parallel implementation are discussed by analyzing their difference in load balance, communication complexity and scalability. In the...
In hard thresholding to scale multiplication, it is believed that the signal multiscale product must be positive and the negative correlation between adjacent scales is produced by noise. However, there is still some negative signal correlation between adjacent scales. Here, this phenomenon is deeply analyzed in typical circumstances of two dimensions. On the ground of studying negative signal correlation,...
A robust method of road segmentation for Autonomous Land Vehicle (ALV) navigation system is presented. The main contribution of the present road segmentation method consists of an effective improvement on the mean shift algorithm dedicated to road segmentation and an extension to the Bayesian method due to its suffering from incorrectly predicted edge and the non-generalization from the sampled pixels...
This paper proposes a new scheme for human detection in infrared images. Firstly, we present a new segmentation method based on the image histogram cluster analysis using K-means clustering method. Then, we propose a human feature extraction method based on histograms of maximal oriented energy map using Log-Gabor wavelets as the filters for orientation selecting and use a radial basis function (RBF)...
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