Ebook: Fuzzy Filters for Image Processing
- Genre: Computers // Organization and Data Processing
- Tags: Appl.Mathematics/Computational Methods of Engineering, Simulation and Modeling, Image Processing and Computer Vision, Applications of Mathematics
- Series: Studies in Fuzziness and Soft Computing 122
- Year: 2003
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation, image enhancement and further specific applications of fuzzy filters. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field.
This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation, image enhancement and further specific applications of fuzzy filters. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field.
This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation, image enhancement and further specific applications of fuzzy filters. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field.
Content:
Front Matter....Pages I-XIV
Front Matter....Pages 1-1
Fuzzy Filters for Noise Removal....Pages 3-24
Fuzzy Filters for Noise Reduction in Images....Pages 25-53
Real-time Image Noise Cancellation Based on Fuzzy Similarity....Pages 54-71
Fuzzy Rule-Based Color Filtering Using Statistical Indices....Pages 72-97
Front Matter....Pages 99-99
Fuzzy Based Image Segmentation....Pages 101-128
Fuzzy Thresholding and Histogram Analysis....Pages 129-152
Color Image Segmentation by Analysis of 3D Histogram with Fuzzy Morphological Filters....Pages 153-177
Fast and Robust Fuzzy Edge Detection....Pages 178-194
Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation....Pages 195-215
Front Matter....Pages 217-217
Fuzzy Image Enhancement in the Framework of Logarithmic Models....Pages 219-237
Observer-Dependent Image Enhancement....Pages 238-270
Front Matter....Pages 271-271
Fuzzy Techniques in Digital Image Processing and Shape Analysis....Pages 273-305
Adaptive Fuzzy Filters and Their Application to Online Maneuvering Target Tracking....Pages 306-338
Lossy Image Compression and Reconstruction Based on Fuzzy Relational Equation....Pages 339-355
Avoidance of Highlights through ILFOs in Automated Visual Inspection....Pages 356-371
Back Matter....Pages 372-386
This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation, image enhancement and further specific applications of fuzzy filters. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field.
Content:
Front Matter....Pages I-XIV
Front Matter....Pages 1-1
Fuzzy Filters for Noise Removal....Pages 3-24
Fuzzy Filters for Noise Reduction in Images....Pages 25-53
Real-time Image Noise Cancellation Based on Fuzzy Similarity....Pages 54-71
Fuzzy Rule-Based Color Filtering Using Statistical Indices....Pages 72-97
Front Matter....Pages 99-99
Fuzzy Based Image Segmentation....Pages 101-128
Fuzzy Thresholding and Histogram Analysis....Pages 129-152
Color Image Segmentation by Analysis of 3D Histogram with Fuzzy Morphological Filters....Pages 153-177
Fast and Robust Fuzzy Edge Detection....Pages 178-194
Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation....Pages 195-215
Front Matter....Pages 217-217
Fuzzy Image Enhancement in the Framework of Logarithmic Models....Pages 219-237
Observer-Dependent Image Enhancement....Pages 238-270
Front Matter....Pages 271-271
Fuzzy Techniques in Digital Image Processing and Shape Analysis....Pages 273-305
Adaptive Fuzzy Filters and Their Application to Online Maneuvering Target Tracking....Pages 306-338
Lossy Image Compression and Reconstruction Based on Fuzzy Relational Equation....Pages 339-355
Avoidance of Highlights through ILFOs in Automated Visual Inspection....Pages 356-371
Back Matter....Pages 372-386
....
