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Scale co-occurrence matrix
Scale co-occurrence matrix (SCM) is a method for image feature extraction within scale space after wavelet transformation, proposed by Wu Jun and…
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Related topics
Related topics
4 relations
Discrete wavelet transform
Broader (3)
Feature detection (computer vision)
Image compression
Numerical analysis
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Cloud Feature Extraction and Classification of Meteorological Satellite Cloud Imagery
Dongmei Wu
,
Bingjie Li
International Conference on Sensor Networks and…
2018
Corpus ID: 58675437
At present, meteorologists mainly adopt manual interpretation methods through satellite cloud imagery which are subjective and…
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2014
2014
Brain Tumor Classification using Discrete Curvelet Transform and Probabilstic Neural Network
A. P.
,
Froz
,
+4 authors
Eddy
2014
Corpus ID: 31246117
In this paper, an automatic support system for brain tumor stage classification using learning machine and for detecting brain…
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2007
2007
Texture segmentation on the scale co-occurrence matrix and gray level co-occurrence matrix
Min Hao
2007
Corpus ID: 124451741
This paper claims that the dynamic information-reflected scale co-occurrence matrix is combined with static information-reflected…
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2001
2001
Scale Co-occurrence Matrix for Texture Analysis Using Wavelet Transform
Zhong Zhao
2001
Corpus ID: 124487728
In this paper, we proposed a new method for image feature extraction within scale space. The new method captures the relation of…
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