Fuzzy Transforms for Image Processing and Data Analysis

Name: Fuzzy Transforms for Image Processing and Data Analysis
Brand: Springer Nature Switzerland AG
SKU: 9783030446154
Price: 59218 HUF
Availability: InStock

Szerző: Ferdinando Di Martino

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer Nature Switzerland AG

Elérhetőség: Beszállítói készleten

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This book analyzes techniques that use the direct and inverse fuzzy transform for image processing a...

Információk a könyvről

Szerző

Ferdinando Di Martino

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2021

oldal

217

EAN

9783030446154

ISBN

3030446158

Enbook ID

35722113

Kiadó

Springer Nature Switzerland AG

Súly

454

Méretek

155 x 235 x 13

Teljes leírás

This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided into two parts, the first of which describes methods and techniques that use the bi-dimensional fuzzy transform method in image analysis. In turn, the second describes approaches that use the multidimensional fuzzy transform method in data analysis. An F-transform in one variable is defined as an operator which transforms a continuous function f on the real interval [a,b] in an n-dimensional vector by using n-assigned fuzzy sets A1, ... , An which constitute a fuzzy partition of [a,b]. Then, an inverse F-transform is defined in order to convert the n-dimensional vector output in a continuous function that equals f up to an arbitrary quantity . We may limit this concept to the finite case by defining the discrete F-transform of a function f in one variable, even if it is not known a priori. A simple extension of this concept to functions in two variables allows it to be used for the coding/decoding and processing of images. Moreover, an extended version with multidimensional functions can be used to address a host of topics in data analysis, including the analysis of large and very large datasets. Over the past decade, many researchers have proposed applications of fuzzy transform techniques for various image processing topics, such as image coding/decoding, image reduction, image segmentation, image watermarking and image fusion; and for such data analysis problems as regression analysis, classification, association rule extraction, time series analysis, forecasting, and spatial data analysis.

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Fuzzy Transforms for Image Processing and Data Analysis

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