A Cellular Fuzzy Associative Memory for Image Fuzzification in Robot Vision Systems
نویسندگان
چکیده
In this paper a Cellular Fuzzy Associative Memory containing fuzzy rules for bidimensional image fuzzification in robot vision systems is developed. This cellular processor constitutes a subsystem of a CNNbased architecture which can store both bidimensional patterns and the rules to process them. After establishing the fuzzy rules characterizing the Fuzzy Associative Memory, a CNN behaving as an associative memory is properly synthesized to store them. A numerical example is reported to show how the synthesized Cellular FAM can process bidimensional patterns for industrial object matching analyses.
منابع مشابه
Synthesis of a Cellular Nonlinear Network for a Fuzzy Associative Memory in Stereoscopic Vision
In this paper a Cellular Fuzzy Associative Memory containing fuzzy rules for gray image fuzzification is designed, considered as a subsystem of a CNN-based architecture able to store bidimensional patterns. After establishing the fuzzy rules which characterize the required FAM, these rules are properly codified and stored in a Cellular Nonlinear Network behaving as a memory. A numerical example...
متن کاملSynthesis of Neural Associative Memories for Artificial Vision Systems by Fuzzy Image Segmentations
A design procedure of neural associative memories to be used for robot vision systems is developed, which fits in the capabilities both of discrete-time cellular neural networks (DTCNNs) and fuzzy logic. The choice of this kind of neural networks is motivated by their architecture, suitable for storing images, and their locally connected structure, which is effective for the hardware implementa...
متن کاملTarget Recognition in Mobile Robot Vision Systems via Neural Networks with Local Interconnections
In the field of robotics real-time image processing can provide the information necessary for mobile robots to execute a task in indoor environment. In this paper the application of a simple neural network-based system to translation and scale-invariant object recognition in the artificial vision structure of a mobile robot is proposed. The suggested bio-inspired vision system is mainly constit...
متن کاملFuzzy Associative Memories for Bidimensional Pattern Segmentation in CNN-based Systems
In this paper a design procedure of Fuzzy Associative Memories containing fuzzy rules for bidimensional pattern segmentation in CNN-based systems is developed. A Fuzzy Necessity/Possibility Technique is considered for these memories to provide binary segmented images adequate to be stored into cellular neural networks for object matching analysis. Simulation results are reported to show the cap...
متن کاملA CNN-based Vision System for Pattern Recognition in Mobile Robots
In the field of robotics real-time image processing can provide the information necessary for mobile robots to execute a task in indoor environment. In this paper the application of a simple CNN-based system to translation and scale-invariant object recognition in the artificial vision structure of a mobile robot is proposed. The suggested bio-inspired vision system is mainly constituted by an ...
متن کامل