| Description |
1 online resource (585 pages) |
| Series |
Advances in intelligent systems and computing ; volume 713 |
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Advances in intelligent systems and computing ; 713.
|
| Contents |
Intro; Preface; About This Book; Contents; About the Editors; Advanced Image Processing; Patch-Based Feature Extraction Algorithm for Mammographic Cancer Images; 1 Introduction; 2 Methodology; 2.1 A Novel Method for Pectoral Muscle Removal and Annotation Removal; 2.2 Patch Generation; 2.3 Patch-Based Dictionary: Feature Extraction; 3 Results; References; Segmentation and Detection of Lung Cancer Using Image Processing and Clustering Techniques; 1 Introduction; 2 Paper Preparation; 3 Figures; 3.1 Image Acquisition; 3.2 Preprocessing; 3.3 Segmentation; 3.4 Active Spline Model; 3.5 Clustering |
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4 Feature Extractions5 Classification; 5.1 SVM Classifier; 6 Results and Discussion; 7 Conclusions; References; A Correlative Study of Contrary Image Segmentation Methods Appending Dental Panoramic X-ray Images to Detect Jawbone Disorders; 1 Introduction; 1.1 Causes of Cysts Origin; 1.2 Orthopantomogram; 2 Generic Segmentation Algorithms; 3 Comparison of Generic Segmentation Algorithms; 4 Feature Selection and Extraction; 5 Results and Discussion; 6 Conclusion; References |
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Image Quilting for Texture Synthesis of Grayscale Images Using Gray-Level Co-occurrence Matrix and Restricted Cross-Correlation1 Introduction; 2 Gray-Level Co-occurrence Matrix (GLCM); 3 Restricted Cross-Correlation; 4 GLCM-Based Image Quilting; 4.1 Minimum Difference Transition Blending; 5 Experimental Results and Discussion; 6 Conclusion; References; Tongue Recognition and Detection; 1 Introduction; 1.1 Image Processing; 1.2 Biometric; 1.3 Tongue; 2 Literature Survey; 2.1 Extraction of Spot on Tongue Print [4]; 2.2 Shape Feature Extraction Algorithm (Control Points) for Tongue Images [4] |
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2.3 Map Relationship Between Feature and Tongue Type [4]2.4 SIFT Feature Extraction Technique [6]; 2.5 Gabor Filter for Feature Extraction [7]; 3 Procedure for Tongue Biometric System; 3.1 Setup to Capture Tongue Images; 3.2 Characteristic of Tongue Which Make It Unique; 3.3 Different Tongue Type; 3.4 Methodology; 4 Conclusion; References; Sample Entropy Based Selection of Wavelet Decomposition Level for Finger Movement Recognition Using EMG; 1 Introduction; 2 Finger Movements Recognition Architecture; 2.1 Signal to Noise Ratio; 2.2 Sample Entropy; 3 Materials and Methods |
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3.1 Data Acquisition3.2 EMG Preprocessing; 3.3 Feature Extraction; 3.4 Recognition of Finger Movements; 4 Results and Discussions; 5 Conclusions; References; Skin Detection Using Hybrid Colour Space of RGB-H-CMYK; 1 Introduction; 1.1 Skin Colour Modelling; 2 Literature Review; 3 Hybrid Colour Space Skin Detection; 3.1 RGB to CMYK Colour Conversion; 3.2 RGB Colour Scheme; 3.3 HSV Colour Scheme; 3.4 CMYK Colour Scheme; 3.5 Hybrid Colour Scheme; 4 Result and Discussion; 5 Conclusion; References; GPU-Based Approach for Human Action Recognition in Video; 1 Introduction; 2 Literature Review |
| Summary |
The book gathers high-quality research papers presented at the International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2017). It includes technical sections describing progress in the fields of advanced computing and intelligent engineering, and is primarily intended for postgraduate students and researchers working in Computer Science and Engineering. However, researchers working in Electronics will also find the book useful, as it addresses hardware technologies and next-gen communication technologies |
| Notes |
3 Methodology |
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Online resource; title from digital title page (viewed on February 01, 2019) |
| Subject |
Computer systems -- Congresses
|
|
Computer systems
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Pati, Bibudhendu, editor
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Panigrahi, Chhabi Rani, editor
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Misra, Sudip, editor.
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Pujari, Arun K., editor.
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Bakshi, Sambit, 1987- editor.
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| ISBN |
9789811317088 |
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9811317089 |
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9789811317095 |
|
9811317097 |
|
