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Femur fracture is one of the common diseases in the elderly. In this paper, an automatic and efficient classification method of femoral pertrochanteric fractures is proposed based on image segmentation techniques. The types of femoral pertrochanteric fracture are defined firstly according to the difference of fracture parts. To reduce the computational complexity, only four directions images are used...
This paper presents an approach for dense depth estimation taking the input of a trinocular stereo. The approach works with a global energy minimization framework based on Markov Random Field models. The occlusion and spatial consistency constraints are explicitly considered in an iterative fashion. Depth maps are initialized by belief propagation using AD-Census metric, and then refined by Mean Shift...
Due to increasing global demand for natural rubber products, rubber (Hevea brasiliensis) plantation expansion has occurred in many regions where it was originally considered unsuitable. However, accurate maps of rubber plantations are not available, which substantially constrain our understanding of the environmental and socio-economic impacts of rubber plantation expansion. In this study, the rubber...
In this paper, background pixels mutation detection and Hu invariant moments based traffic signs segmentation are combined in traffic signs detection. Considering the gray histogram information in S space, it has good segmentation effects as a global threshold selection method, which can greatly reduce the processing time of the subsequent work. Then using moment invariant theory to extract standard...
For very large databases, such as spatial database and multimedia database, the traditional clustering algorithms are of limitations in validity and scalability. According to the notion of clustering feature of BIRCH, an incremental clustering algorithm is designed and implemented, which solves the problems of effectiveness, space and time complexities of clustering algorithms for very large spatial...
In this paper, we proposed a new image segmentation scheme based on the multiresolution image by a wavelet transform and the image segmentation by a watershed transform. At first, the original image is transform into a multiresolution image by using Haar wavelets. Then, the watershed of the lowest-resolution image is computed. To avoid over-segmentation, a fuzzy similarity criteria is introduced to...
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