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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Content-adaptive image steganography constrains the embedding changes to the complex regions difficult to model by using… 
2017
2017
In order to complete the classification and matching of walnut more efficiently, this paper proposes a texture feature extraction… 
2016
2016
In this paper, we propose an image splicing detecting method using the characteristic function moments for the inter-scale co… 
2015
2015
Many of the researchers suggest that, Biometrics is the only solution for user identification and security problems. Password… 
2014
2014
The paper proposed an algorithm for script discrimination using adjacent local binary patterns (ALBP). In the first stage, each… 
2011
2011
In order to overcome the instability of the lane object recognition based on only one feature, the shadiness object is extracted… 
2008
2008
-Based on the convergence and stability of the new mean shift fast algorithm, an adaptive watermark algorithm in contourlet… 
2007
2007
This paper claims that the dynamic information-reflected scale co-occurrence matrix is combined with static information-reflected… 
2001
2001
In this paper, we proposed a new method for image feature extraction within scale space. The new method captures the relation of… 
Highly Cited
1998
Highly Cited
1998
Many techniques have been reported for handwriting-based writer identification. Most such techniques assume that the written text…