A novel distinctive descriptor named MSOGH is proposed, which is able to well represent the interest region and is robust to photometric transformations and geometric transformations. According to intensity order, sub...
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ISBN:
(纸本)9781479923427
A novel distinctive descriptor named MSOGH is proposed, which is able to well represent the interest region and is robust to photometric transformations and geometric transformations. According to intensity order, subregions are firstly constructed. Then feature descriptor of the subregion is computed by point permutation of the sample points in each subregion. Finally, feature descriptor of the region is formed by concatenating all subregion feature descriptors. The discriminative power of the proposed descriptor is compared with 5 major existing region descriptors (MROGH, SIFT, GLOH, PCA-SIFT and spin images). Extensive experimental results show that the proposed descriptor achieves better performance than state-of-the-art descriptors.
In order to improve the performance of adaptive beamforming, this paper proposes a robust adaptive beamforming algorithm. In this algorithm, first the signal-free interference-plus-noise covariance matrix is reconstru...
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Invasive Alien Plant Species (IAPS) could seriously affect the local ecosystem balance, and pose a threat to the ecological security. In order to effectively monitor and control invasive alien plants, it needs to moni...
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Weak boundary contrast, inhomogeneous background and overlapped intensity distributions of the object and background are main causes that may lead to failure of boundary detection for many traditional active contour m...
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ISBN:
(纸本)9781479923427
Weak boundary contrast, inhomogeneous background and overlapped intensity distributions of the object and background are main causes that may lead to failure of boundary detection for many traditional active contour methods. In this paper, we propose a region-based active contour model to address these problems in both local and global ways. A localized active contour framework is developed, in which two local boundary measures are introduced for the evolution of the level set function. These measures are used to select the boundary candidates for boundary preservation such that the evolution of the contour is guided in a reasonable way. The object boundary is determined by a global boundary measure which evaluates the boundary completeness during the entire evolution process. The experiments demonstrate that our method works well against weak boundary contrast, inhomogeneous background and overlapped intensity distributions.
Change detection techniques attempt to be used for remote sensing monitoring of invasive plants. A novel change detection method based on direction feature and RFLICM (an improved fuzzy C-means clustering) is proposed...
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Currently, few studies of wireless sensor network node localization algorithm were focused on the reference nodes, but how to choose and place reference nodes has a great influence on the positioning accuracy. In orde...
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On the basis of the analysis of the relation between network's topologyand localization precisionan improved DV-Hop algorithm based on hop correction is put forward. Firstly, RSSI value is used to correct the dist...
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This paper proposes a novel geodesic saliency propagation method where detected salient objects may be isolated from both the background and other clutter by adding global considerations in the detection process. The ...
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ISBN:
(纸本)9781479923427
This paper proposes a novel geodesic saliency propagation method where detected salient objects may be isolated from both the background and other clutter by adding global considerations in the detection process. The method transmits saliency energy from a coarse saliency map to all image parts rather than from image boundaries in conventional cases. The coarse saliency map is computed using the combination of global contrast and Harris convex hull. Superpixels from pre-segmented image are used as pre-processing to further enhance the efficiency. The proposed propagation is geodesic distance assisted and retains the local connectivity of objects. It is capable of rendering a uniform saliency map while suppressing the background, leading to salient objects being popped out. Experiments were conducted on a benchmark dataset, visual comparisons and performance evaluations with 9 existing methods have shown that the proposed method is robust and achieves the state-of-the-art performance.
An effective approach for coverage holes was proposed, called Distance-assistant Coverage Hole Parching (DACHP) strategy. DACHP strategy would achieve the purpose of patching coverage holes using redundant sensor node...
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ISBN:
(纸本)9781629932170
An effective approach for coverage holes was proposed, called Distance-assistant Coverage Hole Parching (DACHP) strategy. DACHP strategy would achieve the purpose of patching coverage holes using redundant sensor nodes within the wireless sensor networks. Simulation results show, compared with DFNFP and random algorithm, for the same size and shape coverage hole, DACHP can awaken five redundant nodes to patch 92.19% of hole, yet DFNFP needs awaken nine redundant nodes and just patch 90.28%. It can be seen that DFNFP not only awaken four extra nodes, but also is lower 1.19% in patching rate of hole than DACHP. In addition, DACHP is more stable in utilization of redundant nodes and does not produce additional cost.
The surface quality of the steel slab directly affects the performance and quality of the final steel *** to the raw material,rolling equipment and processing technology,however,different types of surface defects migh...
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The surface quality of the steel slab directly affects the performance and quality of the final steel *** to the raw material,rolling equipment and processing technology,however,different types of surface defects might exist on the steel slab surface,such as scarring,crack,roll marks,scratches,pinholes,phosphorus leather,holes,pitting,*** defects not only affect the appearance of the steel products,but also reduce the performances of steel products,such as the corrosion resistance,wear resistance and fatigue strength of the ***,it is very important to detect and identify automatically surface defects of steel slab products on-line and to control and improve the surface quality of the steel *** is a very complex *** this paper,we introduce some machine vision techniques to detect and identify defects from the steel slab *** adaboost based machine leaming method is proposed to detect defects from steel slab *** is usually able to remove pseudo-defects.A directional detector based on wavelet transformation is used to detect directional structural crack feature from the complex steel slab surface.A saliency based method combining elastic threshold method and Gabor wavelet filter is used to detect crack from the steel slab *** results show the effectiveness of these methods.
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