Advances in Signal Processing and Intelligent Recognition Systems

2021 ◽  
Author(s):  
Javier Ruiz-del-Solar ◽  
◽  
Aureli Soria-Frisch ◽  

Simultaneous progress in sensor and signal processing technologies stimulates the implementation of more refined pattern recognition systems in order to solve problems of increasing complexity. The progress on both technologies induced the implementation of the here presented framework for the fusion of infrared and color textural information. The framework is based on different aspects of the processing of visual information in the human brain. Some organizational principles of multisensorial information fusion in higher associative areas are also reflected in it. Preliminary results, realized in a simplified framework, show the validity of the biological-based approach in the resolution of multisensorial image fusion.


Author(s):  
Евгений Леонов ◽  
Evgeny Leonov ◽  
Юрий Леонов ◽  
Yuriy Leonov ◽  
Андрей Аверченков ◽  
...  

The article briefly describes the methodology and suggests the method for recognizing any elliptic forms objects on the images. This method is universal and can be applied in any intelligent recognition systems, for example, recognition system of the road signs from video camera images. The proposed method has proven itself in solving various practical problems, such as searching for signs in photographs, detecting circles on charts and diagrams, searching for the boundaries of ovals of faces, etc. The main advantage of the method is its extreme ease of implementation and high speed, which makes it possible to use not only on modern stationary computers, but also on mobile devices with low computing power.


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