Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 227,740,537 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
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
Selection-Channel-Aware Scale Co-occurrence Matrix Feature to Detect Content-Adaptive JPEG Steganography
Xiaoyan Xu
,
Xiaofeng Song
,
Rongcai Zhao
International Conference on Computer Science and…
2018
Corpus ID: 69164216
Content-adaptive image steganography constrains the embedding changes to the complex regions difficult to model by using…
Expand
2017
2017
Classification of Collection Walnut Based on GLCM and SVM
Jun Lu
,
Xian-zhong Han
,
Ke-jian Wang
2017
Corpus ID: 56013297
In order to complete the classification and matching of walnut more efficiently, this paper proposes a texture feature extraction…
Expand
2016
2016
Image splicing detection based on inter-scale 2D joint characteristic function moments in wavelet domain
T. Park
,
J. Han
,
Y. Moon
,
I. Eom
EURASIP Journal on Image and Video Processing
2016
Corpus ID: 256251850
In this paper, we propose an image splicing detecting method using the characteristic function moments for the inter-scale co…
Expand
2015
2015
Iris authentication using Gray Level Co-occurrence Matrix and Hausdorff Dimension
P. Steffi Vanthana
,
A. Muthukumar
International Conference on Computational…
2015
Corpus ID: 18074849
Many of the researchers suggest that, Biometrics is the only solution for user identification and security problems. Password…
Expand
2014
2014
Differentiation of the Script Using Adjacent Local Binary Patterns
D. Brodic
,
C. Maluckov
,
Z. Milivojevic
,
I. Draganov
Artificial Intelligence: Methodology, Systems…
2014
Corpus ID: 22250050
The paper proposed an algorithm for script discrimination using adjacent local binary patterns (ALBP). In the first stage, each…
Expand
2011
2011
Lane recognition and tracking based on muli-features fuzzy fusion and particle filter
Huang Hai-bo
,
Xu Xi-hai
,
Wang Wei_hua
,
Li Ming
,
Zuo Tao
International Conference on Consumer Electronics…
2011
Corpus ID: 16558544
In order to overcome the instability of the lane object recognition based on only one feature, the shadiness object is extracted…
Expand
2008
2008
An Adaptive Watermark Scheme Based on Contourlet Transform
Wei Feng
,
Ming Tong
,
H. Ji
International Symposium on Computer Science and…
2008
Corpus ID: 18858376
-Based on the convergence and stability of the new mean shift fast algorithm, an adaptive watermark algorithm in contourlet…
Expand
2007
2007
Texture segmentation on the scale co-occurrence matrix and gray level co-occurrence matrix
Hao Min-chai
2007
Corpus ID: 124451741
This paper claims that the dynamic information-reflected scale co-occurrence matrix is combined with static information-reflected…
Expand
2001
2001
Scale Co-occurrence Matrix for Texture Analysis Using Wavelet Transform
Zhao Zhong
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…
Expand
Highly Cited
1998
Highly Cited
1998
Writer Identification from Non-uniformly Skewed Handwriting Images
H. Said
,
G. S. Peake
,
T. Tan
,
K. Baker
British Machine Vision Conference
1998
Corpus ID: 7073450
Many techniques have been reported for handwriting-based writer identification. Most such techniques assume that the written text…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE