Image retrieval using edge based shape similarity with multiresolution enhanced orthogonal polynomials model

2013 ◽  
Vol 23 (2) ◽  
pp. 555-568 ◽  
Author(s):  
R. Krishnamoorthy ◽  
S. Sathiya Devi
Keyword(s):  
Image Retrieval ◽  
Orthogonal Polynomials ◽  
Shape Similarity ◽  
Edge Based

Optimized Feature Subset Selection and Relevance Feedback for Image Retrieval Based on Multiresolution Enhanced Orthogonal Polynomials Model

2015 ◽  
Vol 6 (2) ◽  
pp. 25-40
Author(s):  
S. Sathiya Devi
Keyword(s):  
Image Retrieval ◽  
Orthogonal Polynomials ◽  
Relevance Feedback ◽  
Nearest Neighbor ◽  
Image Features ◽  
Feature Subset Selection ◽  
Support Vector ◽  
Feature Subset ◽  
K Nearest Neighbor ◽  
Multi Objective Genetic Algorithm

In this paper, a simple image retrieval method incorporating relevance feedback based on the multiresolution enhanced orthogonal polynomials model is proposed. In the proposed method, the low level image features such as texture, shape and color are extracted from the reordered orthogonal polynomials model coefficients and linearly combined to form a multifeature set. Then the dimensionality of the multifeature set is reduced by utilizing multi objective Genetic Algorithm (GA) and multiclass binary Support Vector Machine (SVM). The obtained optimized multifeature set is used for image retrieval. In order to improve the retrieval accuracy and to bridge the semantic gap, a correlation based k-Nearest Neighbor (k-NN) method for relevance feedback is also proposed. In this method, an appropriate relevance score is computed for each image in the database based on relevant and non relevant set chosen by the user with correlation based k-NN method. The experiments are carried out with Corel and Caltech database images and the retrieval rates are computed. The proposed method with correlation based k-NN for relevance feedback gives an average retrieval rate of 94.67%.

Image retrieval based on region shape similarity

2001 ◽  
Author(s):  
Cheng Chang ◽  
Wenyin Liu ◽  
HongJiang Zhang
Keyword(s):  
Image Retrieval ◽  
Shape Similarity

Image retrieval based on shape similarity by edge orientation autocorrelogram

2003 ◽  
Vol 36 (8) ◽  
pp. 1725-1736 ◽  
Author(s):  
Fariborz Mahmoudi ◽  
Jamshid Shanbehzadeh ◽  
Amir-Masoud Eftekhari-Moghadam ◽  
Hamid Soltanian-Zadeh
Keyword(s):  
Image Retrieval ◽  
Shape Similarity ◽  
Edge Orientation

scholarly journals Object Extraction Using an Edge-Based Feature for Query-by-Sketch Image Retrieval

2015 ◽  
Vol E98.D (1) ◽  
pp. 214-217
Author(s):  
Takuya TAKASU ◽  
Yoshiki KUMAGAI ◽  
Gosuke OHASHI
Keyword(s):  
Image Retrieval ◽  
Object Extraction ◽  
Edge Based

Edge based features for content based image retrieval

2003 ◽  
Vol 36 (11) ◽  
pp. 2649-2661 ◽  
Author(s):  
Minakshi Banerjee ◽  
Malay K. Kundu
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Edge Based
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