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EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING
Edge feature points Local feature aggregation Global image descriptors Image clustering
2018/5/11
The current global image descriptors are mostly obtained by using the local image features aggregation, which fail to take full account of the details of the image, resulting in the loss of the semant...
UNSUPERVISED CLASSIFICATION OF POLARIMETRIC SAR DATA USING IMAGE CLUSTERING AND H/A/α DECOMPOSITION
Image Classification Data Clustering H/A/a Polarimetric SAR Iteration POLSARPRO
2016/3/17
This paper proposed a method of unsupervised classification of polarimetric SAR data based on image clustering and H/A/a decomposition. Fully polarimetric L band data collected by ALOS PALSAR system w...
Performance Comparison Of Evolutionary Algorithms For Image Clustering
Evolutionary Algorithms Backtracking Search Optimization Algorithm (BSA) Image Clustering
2014/9/29
Evolutionary computation tools are able to process real valued numerical sets in order to extract suboptimal solution of designed problem. Data clustering algorithms have been intensively used for ima...
An Algorithm for Image Clustering and Compression
Image segmentation Image compression Fuzzy clustering
2009/7/28
This paper presents a new approach to image compression based on fuzzy clustering. This new approach includes pre-filtering, and fuzzy logic image enhancing to reduce undesirable noise effects on segm...