26 resultados para transforms
em Bulgarian Digital Mathematics Library at IMI-BAS
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Image content interpretation is much dependent on segmentations efficiency. Requirements for the image recognition applications lead to a nessesity to create models of new type, which will provide some adaptation between law-level image processing, when images are segmented into disjoint regions and features are extracted from each region, and high-level analysis, using obtained set of all features for making decisions. Such analysis requires some a priori information, measurable region properties, heuristics, and plausibility of computational inference. Sometimes to produce reliable true conclusion simultaneous processing of several partitions is desired. In this paper a set of operations with obtained image segmentation and a nested partitions metric are introduced.
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A generalized convolution with a weight function for the Fourier cosine and sine transforms is introduced. Its properties and applications to solving a system of integral equations are considered.
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Mathematics Subject Classification: 44A05, 46F12, 28A78
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Mathematics Subject Classification: 43A20, 26A33 (main), 44A10, 44A15
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Mathematics Subject Classification: 33D15, 44A10, 44A20
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Mathematics Subject Classification: 42A38, 42C40, 33D15, 33D60
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Mathematics Subject Classification: 44A05, 44A35
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Mathematical Subject Classification 2010: 35R11, 42A38, 26A33, 33E12.
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MSC 2010: 44A20, 33C60, 44A10, 26A33, 33C20, 85A99
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Виржиния С. Кирякова - В този обзор илюстрираме накратко наши приноси към обобщенията на дробното смятане (анализ) като теория на операторите за интегриране и диференциране от произволен (дробен) ред, на класическите специални функции и на интегралните трансформации от лапласов тип. Показано е, че тези три области на анализа са тясно свързани и взаимно индуцират своето възникване и по-нататъшно развитие. За конкретните твърдения, доказателства и примери, вж. Литературата.
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2000 Mathematics Subject Classification: 46B70, 41A10, 41A25, 41A27, 41A35, 41A36, 42A10.
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MSC 2010: 33C15, 33C05, 33C45, 65R10, 20C40
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MSC 2010: 44A15, 44A20, 33C60
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We propose a method for image recognition on the base of projections. Radon transform gives an opportunity to map image into space of its projections. Projection properties allow constructing informative features on the base of moments that can be successfully used for invariant recognition. Offered approach gives about 91-97% of correct recognition.
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2000 Mathematics Subject Classification: 35A15, 44A15, 26A33