book

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

by Leonidas Deligiannidis, Hamid R Arabnia

December 2014

Intermediate to advanced

640 pages

19h 7m

English

Morgan Kaufmann

Read now

Unlock full access

Abstract1 Introduction2 Camera noise3 Adaptive raw data denoising4 Experiments: Image quality vs system performance5 Video Sequences6 Conclusion

Abstract1 Introduction2 Collecting the pieces—training and test pieces3 Parsing musicXML—training and test pieces4 Collecting Piece Statistics5 Collecting Classifier Statistics—Training Pieces Only6 Classifying Test Pieces7 Additional Composer and Metrics8 Conclusions
AbstractAcknowledgments1 Introduction2 Experimental prototype3 Statistical Measuring Approach4 Experimental framework5 Performance evaluation6 Conclusions
Abstract1 Introduction2 Methodology3 Results and Discussion4 Conclusion
AbstractAcknowledgment1 Introduction2 Related Work: JPEG 2000 Global Visual Frequency Weighting3 Perceptual quantization4 Experimental results5 Conclusions
AbstractAcknowledgments1 Introduction2 Method for IVUS image reconstruction3 Experimental results4 Discussion, conclusion, and future work
AbstractAcknowledgment1 Introduction2 Related Work: JPEG2000 Global Visual Frequency Weighting3 Image entropy encoding: XSET algorithm4 Experiments and results5 Conclusions
AbstractAcknowledgments1 Introduction2 Graphical Processing Unit and Compute Unified Device Architecture3 Parallel algorithms for image processing4 Applications for surveillance using parallel video processing5 Conclusion
Abstract1 Introduction2 Description of smart contrast image filter3 Description of highlight image filter4 Description of the optimized implementation of smart contrast and highlight Using “Byte Buffer” Techniques5 Conclusions
Abstract1 Introduction2 Objective quality assessment tools3 3D Subjective Quality Assessment4 Experimental results5 Conclusion
AbstractACKNOWLEDGMENT1 Introduction2 Related work3 Perceptual GBbBShift4 Experimental results5 Conclusions
AbstractAcknowledgment1 Introduction2 Background3 DT-Binarize: Selection of best binarization method using decision tree4 Experiments and results5 Conclusion
AbstractAcknowledgments1 Introduction2 Methodology3 Experiment results and discussion4 Conclusions
AbstractAcknowledgments1 Introduction2 Preprocessing steps3 Experimental Results4 Conclusion
Abstract1 Introduction2 Paper Overview3 Implementation4 Traffic detectors5 Image processing6 Project design7 Performance analysis8 General Conclusion
Abstract1 Introduction2 Overview of Retinex Theory3 Analyzing the transformation law and enhancing the nighttime image4 Comparison and results5 Application6 The conclusion
AbstractAcknowledgments1 Introduction2 Methods3 Results4 Discussion
Abstract1 Introduction2 Previous work3 Skewed NL localization4 Experiments5 Conclusions
AbstractAcknowledgments1 Introduction2 Theoretical background3 Face-detection method4 Skin Map Segmentation5 Face detection6 Face Tracking7 Experiments8 Conclusions and Future Works
AbstractAcknowledgments1 Introduction2 Related Work3 Our approach4 Experimental setup5 Future research
Abstract1 Introduction2 Related work3 Temporal segment representation4 Optical flow5 Optical flow-based segment representation6 Cut Detection Inspiration7 Experiments and results8 Conclusion
AbstractAcknowledgments1 Introduction2 Literature background3 Research design4 Evaluation5 Conclusion
Abstract1 Introduction2 Estimating an ideal resected region using the TDR3 Estimating an Optimal Resected Region Under the Practical Conditions in Surgery4 Modifying a Resected Region Considering Hepatic Veins5 Conclusion
AbstractAcknowledgments1 Introduction2 Related work3 Our Method4 Experiments5 Conclusions
Abstract1 Introduction2 Image Acquisition3 Two-dimensional principal component analysis4 Kernel mapping along row and column direction5 Finger Vein Recognition Algorithm6 Experimental results on finger vein database7 Conclusion
AbstractACKNOWLEDGEMENT1 Introduction2 Depth Image Preprocessing3 Feature extraction4 Experiments and results5 Concluding Remarks
AbstractAcknowledgment1 Introduction2 Image Categories3 System overview4 Image preprocessing and feature extraction5 Experimental results6 Conclusion and Future Work
AbstractAcknowledgments1 Introduction2 Dental Study Model3 Point cloud segmentation4 Results of segmentation techniques applied to 3D dental models5 Comments and Discussions6 Conclusion
Abstract1 Introduction2 Image Acquisition3 Principal component analysis4 Kernel principal component analysis5 Experimental results6 Conclusion
Abstract1 Introduction2 Related work3 Hough transforms4 Overview of NN5 Overview of the classification and regression tree6 The proposed algorithm7 The experimental results8 Conclusions
Abstract1 Introduction2 Structure of the proposed method3 1D degeneration from videos4 Similarity Measure with Correlation and Absolute Difference in Motion Retrieving Method5 Experiments on baseball games and evaluations6 Conclusions
AbstractAcknowledgment1 Introduction2 Materials and methods3 Results4 Discussion and conclusions
Abstract1 Introduction2 Shape alignment using fourier descriptors3 Shape Prior for Geometric Active Contours4 Experimental results5 Conclusions
Abstract1 Introduction2 X-corner detector3 Topological filter4 Point Correspondences5 Location refinement6 Experimental Results7 Conclusions
AbstractAcknowledgments1 Introduction2 Related research3 Distortion center estimation method using FOV model and 2D patterns4 Experiment and evaluation5 Application of algorithm to products improving vehicle convenience6 Conclusion
Abstract1 Introduction2 Distance and Similarity Measures Between Distributions3 Distances on cumulative distribution functions4 Experimental results and discussions5 Generalization6 Conclusions and Future Work
Abstract1 Introduction2 Prior and related work3 Practical issues for fringe pattern generation4 Binary code generation for phase ambiguity resolution5 Practical issues for projected fringe pattern photography6 Three-dimensional reconstruction7 Summary and conclusions
Abstract1 Introduction2 Overview on SURF method3 Overview on Image Segmentation4 The proposed algorithm5 Experimental results6 Conclusions

Content preview from Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

Chapter 27

Automatic classification of protein crystal images

Madhav Sigdel¹; Madhu S. Sigdel¹; İmren Dinç¹; Semih Dinç¹; Marc L. Pusey²; Ramazan S. Aygün¹ ¹ DataMedia Research Lab, Computer Science Department, University of Alabama Huntsville, Huntsville, AL, USA² iXpressGenes Inc., Huntsville, AL, USA

Abstract

This work introduces our method for automatic classification of crystallization trial images according to the types of protein crystals present in the images. The images are classified into four categories: needles, small crystals, large crystals, and other crystals. Because protein crystals are characterized by some geometric shapes, we focus on extracting geometric features from the images. Our image feature extraction includes ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Start your free trial

Neutrosophic Set in Medical Image Analysis

Publisher Resources

ISBN: 9780128020456

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

by Leonidas Deligiannidis, Hamid R Arabnia

Automatic classification of protein crystal images

Abstract

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

You might also like

Neutrosophic Set in Medical Image Analysis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Microscope Image Processing

Lossless Information Hiding in Images

Publisher Resources

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,and much more.

You might also like

Neutrosophic Set in Medical Image Analysis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Microscope Image Processing

Lossless Information Hiding in Images

Publisher Resources

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.