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SEGMENTATION OF LARGE UNSTRUCTURED POINT CLOUDS USING OCTREE-BASED REGION GROWING AND CONDITIONAL RANDOM FIELDS
Segmentation Region Growing Conditional Random Fields Point Clouds
2018/3/5
Point cloud segmentation is a crucial step in scene understanding and interpretation. The goal is to decompose the initial data into sets of workable clusters with similar properties. Additionally, it...
STRAIGHT ROADS EXTRACTION BY FUSION OF SPOKE WHEEL AND REGION GROWING
Semi-automatic road extraction spoke wheel region growing
2016/3/17
Semi-automatic methods are regarded as more practical than automatic methods to obtain and/or update the vector road data. But road tracking methods lose their efficiencies when they are applied to tr...
An Efficient Multi-Scale Segmentation for High-Resolution Remote Sensing Imagery Based on Statistical Region Growing and Minimum-Heterogeneity Rule
Multi-scale Segmentation High-Resolution Statistical Region Merging (SRM)
2015/12/17
Multi-scale segmentation is an essential step toward higher level image processing in remote sensing. This paper presents a new multi-scale segmentation method based on Statistical Region Merging (SRM...
New Methods for Leak Detection and Contour Correction in Seeded Region Growing Segmentation
Medicine Application Segmentation
2015/7/14
Segmentation, i.e. the labelling of objects in image data, is a crucial step in many medical imaging processing tasks, e.g. operation
planning, radio therapy or diagnostics. Seeded region growing is ...
DATA FUSION OF LIDAR INTO A REGION GROWING STEREO ALGORITHM
Stereo vision LIDAR Multisensor data fusion calibration 3D reconstruction
2015/5/21
Stereo vision and LIDAR continue to dominate standoff 3D measurement techniques in photogrammetry although the two techniques are normally used in competition. Stereo matching algorithms generate dens...
OBJECT SEGMENTATION WITH REGION GROWING AND PRINCIPAL COMPONENT ANALYSIS
Principal Component Analysis Tensorization
2015/3/24
The paper considers the problem of object segmentation and shape recognition in discrete noisy data. Two different algorithms
combine region growing techniques with principal component analysis. The...
CLASSIFIER FOR REMOTELY SENSED IMAGERY USING KOHONEN ’S SELF-ORGANIZING FEATURE MAP WITH REGION GROWING
Remotely Sensed Imagery Self-Organizing Feature Map Region Growing Polar coordinate System
2015/2/4
Applying the region growing to the Kohonen’s self-organizing feature map, a non-supervised classifier for remotely
sensed imagery data is proposed. If the self-organizing feature map is made large e...
PROGRESSIVE DENSIFICATION AND REGION GROWING METHODS FOR LIDAR DATA CLASSIFICATION
LiDAR DEM/DTM Classification Algorithms
2014/4/28
At present, airborne laser scanner systems are one of the most frequent methods used to obtain digital terrain elevation models. While having the advantage of direct measurement on the object, the poi...
Surface Extraction from Point-Sampled Data through Region Growing
point-sampled geometry surface reconstruction surface extraction
2009/8/19
As three-dimensional range scanners make large point clouds a more common initial representa-tion of real world objects, a need arises for algorithms that can efficiently process point sets. In this p...