Image retrieval and classification using affine invariant B-spline representation and neural networks

1998 ◽  
Author(s):  
Y. Xirouhakis ◽  
Y. Avrithis ◽  
S. Kollias
Keyword(s):  
Neural Networks ◽  
Image Retrieval ◽  
Affine Invariant ◽  
B Spline ◽  
Spline Representation

scholarly journals Image interpolation by rational ball cubic B-spline representation and genetic algorithm

2018 ◽  
Vol 57 (2) ◽  
pp. 931-937 ◽  
Author(s):  
Samreen Abbas ◽  
Malik Zawwar Hussain ◽  
Misbah Irshad
Keyword(s):  
Genetic Algorithm ◽  
Image Interpolation ◽  
B Spline ◽  
Spline Representation

scholarly journals The Role and Utilization of CNN in Automatic Logo Based Document Image Retrieval Methods

2018 ◽  
Vol 7 (3.1) ◽  
pp. 13
Author(s):  
Raveendra K ◽  
R Vinoth Kanna
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Feature Extraction ◽  
Image Retrieval ◽  
Convolutional Neural Network ◽  
Convolutional Neural Networks ◽  
Document Image ◽  
Retrieval Process ◽  
Pictorial Representations

Automatic logo based document image retrieval process is an essential and mostly used method in the feature extraction applications. In this paper the architecture of Convolutional Neural Network (CNN) was elaborately explained with pictorial representations in order to understand the complex Convolutional Neural Networks process in a simplified way. The main objective of this paper is to effectively utilize the CNN in the process of automatic logo based document image retrieval methods.  

B-spline representation

2002 ◽  
pp. 59-75
Author(s):  
Hartmut Prautzsch ◽  
Wolfgang Boehm ◽  
Marco Paluszny
Keyword(s):  
B Spline ◽  
Spline Representation
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