TAILIEUCHUNG - Lecture Digital image processing - Lecture 22: Image registration

This chapter presents the following content: Image registration, different mismatch or measures, cross correlation between tow images, applications of image registration, estimation of degradation model, restoration techniques. | Digital Image Processing CSC331 Image registration 1 Summery of previous lecture Estimation of Degradation Model By observation By experimentation Mathematical model Restoration techniques Inverse filtering Minimum Mean Square error (Wiener) Constrained Least square Filter Restoration in presence of periodic noise 2 Todays lecture Image registration Different mismatch or measures Cross correlation between tow images Applications of image registration 3 4 Image registration 5 image registration 6 Registration techniques Template matching 7 Different match or similarity measures 8 9 Cauchy Schwarz inequality 10 11 Normalized cross correlation 12 13 Working example 14 Cross correlation The similarity measure 15 cross correlation measure directly cannot be used as a similarity measure as a false match 16 normalized cross correlation value 17 All normalized cross correlation value 18 19 20 21 Application 22 Placing the template 23 24 25 26 27 28 29 30 Registration as a image restoration 31 32 Registration as a image restoration 33 Applications 34 35 Image mosaicing 36 Image mosaicing 37 Summery of the lecture Image registration Different mismatch or measures Cross correlation between tow images Applications of image registration 38 References Prof .P. K. Biswas Department of Electronics and Electrical Communication Engineering Indian Institute of Technology, Kharagpur Gonzalez R. C. & Woods . (2008). Digital Image Processing. Prentice Hall. Forsyth, D. A. & Ponce, J. (2011).Computer Vision: A Modern Approach. Pearson Education. .

• Đồ họa - Thiết kế - Flash
• Image registration
• Digital image processing
• Lecture Digital image processing
• Digital images
• Digital computers
• Image processing
• Medical Image Registration
• Segmentation
• Temporal Retinal Image
• Mutual Information Maximization
• Brain Aneurysm Dimensions
• Medical Imaging Modalities
• Image Enhancement
• Bibliographical Remarks
• Feature Correspondence
• Transformation Functions
• Performance Evaluation
• Image Fusion
• BMC Cancer
• Multiplex analysis
• Histological sections
• Scale invariant feature transform
• Prostate cancer
• BMC Bioinformatics
• Multimodal image registration
• Fourier transform infrared microscopy
• Spectral histopathology
• Microscopic modalities
• Whole slide images
• Immunohistochemistry images
• Rigid registration
• Blood vessel 3D reconstruction
• Multi scale attention
• Medical image processing
• Edge detection
• Morphological algorithms
• Insight Segmentation
• Registration Toolkit
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Báo cáo khoa học
• báo cáo y học
• công trình nghiên cứu về y học
• tài liệu về y học
• Volcanism
• Cartographic control
• geometric registration
• Image calibration
• Nomenclature
• The revolutionary
• Nuclear Medical
• Analytic Image
• Reconstruction Methods
• Emission Computed
• Emission Tomography
• Volume Effects
• Registration Techniques
• Handbook of medical imaging
• Compression storage and communication
• Visualization pathways in biomedicine
• Spatial transformation models
• Registration for image guided surgery
• Morphometric methods for virtual endoscopy
• Morphological algorithms on medical imaging
• Detect good edges
• The diagnosis and treatment
• Insight Segmentation and Registration Toolkit
• The drawback of traditional edge detection methods