𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Advances in Soft Computing and Machine Learning in Image Processing

✍ Scribed by Aboul Ella Hassanien, Diego Alberto Oliva (eds.)


Publisher
Springer International Publishing
Year
2018
Tongue
English
Leaves
711
Series
Studies in Computational Intelligence 730
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.

The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

✦ Table of Contents


Front Matter ....Pages i-xii
Front Matter ....Pages 1-1
Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation (Edgar Chavolla, Daniel Zaldivar, Erik Cuevas, Marco A. Perez)....Pages 3-22
Multi-objective Whale Optimization Algorithm for Multilevel Thresholding Segmentation (Mohamed Abd El Aziz, Ahmed A. Ewees, Aboul Ella Hassanien, Mohammed Mudhsh, Shengwu Xiong)....Pages 23-39
Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images (Abdalla Mostafa, Essam H. Houssein, Mohamed Houseni, Aboul Ella Hassanien, Hesham Hefny)....Pages 41-62
Thermal Image Segmentation Using Evolutionary Computation Techniques (Salvador Hinojosa, Gonzalo Pajares, Erik Cuevas, NoΓ© Ortega-Sanchez)....Pages 63-88
News Videos Segmentation Using Dominant Colors Representation (Ibrahim A. Zedan, Khaled M. Elsayed, Eid Emary)....Pages 89-109
Front Matter ....Pages 111-111
Normalized Multiple Features Fusion Based on PCA and Multiple Classifiers Voting in CT Liver Tumor Recognition (Ahmed M. Anter, Aboul Ella Hassenian)....Pages 113-129
Computer-Aided Acute Lymphoblastic Leukemia Diagnosis System Based on Image Analysis (Ahmed M. Abdeldaim, Ahmed T. Sahlol, Mohamed Elhoseny, Aboul Ella Hassanien)....Pages 131-147
Telemammography: A Novel Approach for Early Detection of Breast Cancer Through Wavelets Based Image Processing and Machine Learning Techniques (Liyakathunisa Syed, Saima Jabeen, S. Manimala)....Pages 149-183
Image Processing in Biomedical Science (Lakshay Bajaj, Kannu Gupta, Yasha Hasija)....Pages 185-211
Automatic Detection and Quantification of Calcium Objects from Clinical Images for Risk Level Assessment of Coronary Disease (R. Priyatharshini, S. Chitrakala)....Pages 213-225
Semi-automated Method for the Glaucoma Monitoring (Nesma Settouti, Mostafa El Habib Daho, Mohammed El Amine Bechar, Mohamed Amine Lazouni, Mohammed Amine Chikh)....Pages 227-246
Front Matter ....Pages 247-247
Multimodal Biometric Personal Identification and Verification (Mohamed Elhoseny, Ahmed Elkhateb, Ahmed Sahlol, Aboul Ella Hassanien)....Pages 249-276
Suspicious and Violent Activity Detection of Humans Using HOG Features and SVM Classifier in Surveillance Videos (Produte Kumar Roy, Hari Om)....Pages 277-294
Hybrid Rough Neural Network Model for Signature Recognition (Mohamed Elhoseny, Amir Nabil, Aboul Ella Hassanien, Diego Oliva)....Pages 295-318
A Novel Secure Personal Authentication System with Finger in Face Watermarking Mechanism (Chinta Someswara Rao, K. V. S. Murthy, R. Shiva Shankar, V. Mnssvkr Gupta)....Pages 319-353
Activity Recognition Using Imagery for Smart Home Monitoring (Bradley Schneider, Tanvi Banerjee)....Pages 355-371
Compressive Sensing and Chaos-Based Image Compression Encryption (R. Ponuma, R. Amutha)....Pages 373-392
Fingerprint Identification Using Hierarchical Matching and Topological Structures (Meryam Elmouhtadi, Sanaa El fkihi, Driss Aboutajdine)....Pages 393-408
A Study of Action Recognition Problems: Dataset and Architectures Perspectives (Bassel S. Chawky, A. S. Elons, A. Ali, Howida A. Shedeed)....Pages 409-442
Importance of AADHAR-Based Smartcard System’s Implementation in Developing Countries (Kamta Nath Mishra)....Pages 443-457
Front Matter ....Pages 459-459
A Nonlinear Appearance Model for Age Progression (Ali Maina Bukar, Hassan Ugail)....Pages 461-475
Efficient Schemes for Playout Latency Reduction in P2P-VoD Systems (Abdulaziz Shehab, Mohamed Elhoseny, Mohamed Abd El Aziz, Aboul Ella Hassanien)....Pages 477-495
A SetpitextOFF Algorithm-Based Fast Image Projection Analysis (V. Kakulapati, Vijay Pentapati)....Pages 497-517
Enhancing Visual Speech Recognition with Lip Protrusion Estimation (Preety Singh)....Pages 519-536
Learning-Based Image Scaling Using Neural-Like Structure of Geometric Transformation Paradigm (Roman Tkachenko, Pavlo Tkachenko, Ivan Izonin, Yurij Tsymbal)....Pages 537-565
2D/3D Object Recognition and Categorization Approaches for Robotic Grasping (Nabila Zrira, Mohamed Hannat, El Houssine Bouyakhf, Haris Ahmad Khan)....Pages 567-593
A Distance Function for Comparing Straight-Edge Geometric Figures (Apoorva Honnegowda Roopa, Shrisha Rao)....Pages 595-626
Rough Set Theory Based on Robust Image Watermarking (Musab Ghadi, Lamri Laouamer, Laurent Nana, Anca Pascu)....Pages 627-659
({\mathrm {CB_{p}F}})-IQA: Using Contrast Band-Pass Filtering as Main Axis of Visual Image Quality Assessment (JesΓΊs Jaime Moreno-Escobar, Claudia Lizbeth MartΓ­nez-GonzΓ‘lez, Oswaldo Morales-Matamoros, Ricardo Tejeida-Padilla)....Pages 661-682
Digital Image Watermarking Performance Improvement Using Bio-Inspired Algorithms (Mohamed Issa)....Pages 683-698
Image Reconstruction Using Novel Two-Dimensional Fourier Transform (S. Kala, S. Nalesh, Babita R. Jose, Jimson Mathew)....Pages 699-718

✦ Subjects


Computational Intelligence


πŸ“œ SIMILAR VOLUMES


Soft Computing in Image Processing: Rece
✍ Mike Nachtegael, Dietrich Van der Weken, Etienne E. Kerre, Wilfried Philips πŸ“‚ Library πŸ“… 2006 πŸ› Springer 🌐 English

Images have always been very important in human life. Their applications range from primitive communication between humans of all ages to advanced technologies in the industrial, medical and military field. The increased possibilities to capture and analyze images have contributed to the largeness t

Soft Computing in Image Processing: Rece
✍ Saroj K. Meher, Bhavan Uma Shankar, Ashish Ghosh (auth.), Mike Nachtegael, Dietr πŸ“‚ Library πŸ“… 2007 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p><P>Images have always been very important in human life. Their applications range from primitive communication between humans of all ages to advanced technologies in the industrial, medical and military field. The increased possibilities to capture and analyze images have contributed to the large

Image Processing and Machine Learning, V
✍ Erik Cuevas, Alma Nayeli RodrΓ­guez πŸ“‚ Library πŸ“… 2023 πŸ› CRC Press 🌐 English

Image processing and Machine Learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, Machine Learning algorithms are used to interpret the processed data through

Soft Computing in Machine Learning
✍ Sang-Yong Rhee, Jooyoung Park, Atsushi Inoue (eds.) πŸ“‚ Library πŸ“… 2014 πŸ› Springer International Publishing 🌐 English

<p><p>As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud det

Image Quality Assessment of Computer-gen
✍ AndrΓ© Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin πŸ“‚ Library πŸ“… 2018 πŸ› Springer 🌐 English

<p><span>Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for computer-generated images. This book addresses this problem and presents recent advances based on soft computing. It is aimed at students, practiti