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POOR TEXTURAL IMAGE MATCHING BASED ON GRAPH THEORY
Poor Textural Image Image Matching Graph Matching Affinity Tensor Power Iteration Algorithm
2016/7/28
Image matching lies at the heart of photogrammetry and computer vision. For poor textural images, the matching result is affected by low contrast, repetitive patterns, discontinuity or occlusion, few ...
Skeletonization and segmentation of point clouds using octrees and graph theory
terrestrial laser data, data processing, skeletonization skeleton extraction graph theory graph replacement graph collapsing octree terrestrial laser scanning
2015/8/25
In this part of literature we will present a new way of extracting a skeleton out of a point cloud. Our approach is based on looking at the attributes of data points in small parts of the space. The s...
High resolution remote sensing image segmentation based on graph theory and fractal net evolution approach
Image Segmentation Graph Based FNEA Merging Criterion
2015/7/27
Image segmentation is the foundation of further object-oriented image analysis, understanding and recognition. It is one of the key technologies in high resolution remote sensing applications. In this...
GRAPH THEORY AND ANT COLONY OPTIMIZATION APPROACH FOR FOREST PATCH CONNECTIVITY ANALYSIS
Forestry Software Vegetation GIS and Networks
2014/5/6
Forest connectivity is necessary for prioritizing biodiversity conservation. Connectivity indices facilitate to predict the movement pattern of species across complex landscapes. Change in area and in...