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This paper presents a scheme of approximating cylindrical models using convolution surfaces and subdivision surfaces. Firstly, an inverse Catmul-Clark subdivision is utilized to approximate the cylindrical models. Then the subdivided mesh is evolved onto the target convolution surface-based shape to produce a natural blending at branches. The initial inverse subdivision reduce the evolution iterations...
Research over the last decade has developed a wide application of 3D models. Much of this work, however, is not related to quality evaluation of 3D color models. This paper presents a novel subjective quality evaluation model that can be used to compute the difference between an original 3D color model and the other processed one. Our model jointly takes into account human visual perception of color...
In this paper, a modified method to measure the degree of similarity between generalized fuzzy numbers based on Hausdorff distance is presented. Eighteen sets of generalized fuzzy numbers are used to compare the proposed method with the existing similarity measures. The results show that the proposed similarity measure can overcome the drawbacks of the existing methods.
With the development of digital forestry, image processing and pattern recognition technology have been extensively used in the study of forestry research. It is currently a hot research that automatic plant recognition by use of computer. In some developed countries, the technology has been used in the agricultural production. This paper overviews the study of automatic plant recognition by use of...
The classification of breast masses into benign and malignant categories plays an important role in the area of computer-aided diagnosis (CAD) of breast cancer. In this paper, one novel scheme based on multi-view information fusion is proposed, in order to improve the accuracy and the robustness of the classification and reduce the false positive rates. Five contour and shape features of the masses...
The classification of breast masses into benign and malignant categories plays an important role in the area of computer-aided diagnosis (CAD) of breast cancer. In this paper, in order to improve the accuracy and the robustness of the classification and reduce the false positive rates, we proposed one novel scheme that was based on information fusion in multi views. A series of contour and shape features...
The angularity of coarse aggregate is a key characteristic. The high-temperature stability, low temperature anti-cracking performance and moisture susceptibility of asphalt mixture are influenced greatly when coarse aggregates are used in the asphalt pavement. Three indexes were used for quantizing the angularity of coarse aggregate. They are FI (Form Index), Angularity GM (Gradient Method) and Angularity...
In this work, we described a new two-stage hierarchical framework for mammogram retrieval. We tested the proposed approach on the reference library from USF-DDSM. For each query ROI (region of interest), the proposed scheme first computes its 14 texture and shape features, then the voting method based on five classifiers is used to classify the ROIs in the reference library, this phase eliminates...
To be sure that the telecommunication satellite can work well in the complexity electromagnetic environment and electromagnetic jamming, a novel space-borne antenna multi-jamming direction finding and nulling method is presented in the paper. Firstly, single-snapshot DOA estimation algorithm in frequency is presented to estimate the DOAs of multiple interferences, and then nulling algorithm that keep...
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