Logic-temporary function derivative use in image recognition

Vladimir P. Kozhemyako; Elena I. Ponuraya; N. Sachaniuk; R. Hamdy

doi:10.1117/12.388463

14 June 2000 Logic-temporary function derivative use in image recognition

Vladimir P. Kozhemyako, Elena I. Ponuraya, N. Sachaniuk, R. Hamdy

Proceedings Volume 4148, Optoelectronic and Hybrid Optical/Digital Systems for Image and Signal Processing; (2000) https://doi.org/10.1117/12.388463
Event: International Workshop on Optoelectronic and Hybrid Optical/Digital Systems for Image/Signal Processing, 1999, Lviv, Ukraine

Abstract

At last time the many scientists working with systems of technical sight. And all of them have large problem. It is the making of unifical objects recognition systems. The methods of recognizing by signs are more attractive for deciding this problem. We must note that all known methods let pick out only one of all possible signs [1, 2]. But picking out several object's signs quantity will be best for its recognition. It is necessary to decide the input information treatment problem for receiving desirable results of engeneering activity. The image identify problem is most interesting part of main treatment problem. That is mean that the aim of optimal technical sight system working out is put. This system will not base at the standard logic-mathematical algorithms. We noted from this that optimal technical sight systems creation connected with new treatment and information analysis methods. These methods base at the physics-technological basis of dates treatment and transformation. We have mark the next, that information perception has been maximal approach to natural parallel perception and treatment in such systems. The information perception and treatment way need to making arrangements like arrangements eyeprocessor type [3]. The apparatus like that has made input and dates preliminary treatment and this information analysis and object recognition. The information treatment consists of the four parts in those arrangements. The first is preliminary treatment by KVP-transformation method [4]. The second is forming unobviously expressed signs systems. The next is making unit finish function. She take into account weight marks of quality and quantity object characteristics. And last is making knowledge underground and finish recognizing. Each stage contains large quality difficult tasks. They have been decide by principle new ways. And that is why the authors proposed to use the new mathematical operations. Those operations will help describe all information treatment.

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Vladimir P. Kozhemyako, Elena I. Ponuraya, N. Sachaniuk, and R. Hamdy "Logic-temporary function derivative use in image recognition", Proc. SPIE 4148, Optoelectronic and Hybrid Optical/Digital Systems for Image and Signal Processing, (14 June 2000); https://doi.org/10.1117/12.388463

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KEYWORDS

Object recognition

Image processing

Integration

Mathematical modeling

Mathematics

Visualization

Information visualization

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