Computer vision and image processing : a practical approach using CVIPtools

著者

書誌事項

Computer vision and image processing : a practical approach using CVIPtools

Scott E. Umbaugh

Prentice Hall PTR, c1998

大学図書館所蔵 件 / 全20件

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注記

System requirements for accompanying computer disc: UNIX; Windows NT/95

Includes bibliographical references and index

内容説明・目次

内容説明

To be used in any senior- or graduate-level Computer Imaging Applications-Oriented course. Also for use as a laboratory text in a standard computer vision and/or image processing course. This application-oriented approach to Computer Vision and Image Processing (CVIP) brings these two separate but related fields together with an engineering perspective. A just-in-time approach presents topics as they become necessary for practical applications. This approach allows students to see an immediate need for the tools and topics presented, providing motivation for learning.

目次

I. COMPUTER VISION AND IMAGE PROCESSING FUNDAMENTALS. 1. Introduction to Computer Vision and Image Processing. Overview: Computer Imaging. Computer Vision. Image Processing. Computer Imaging Systems. The CVIPtools Software. Human Visual Perception. Image Representation. Digital Image File Formats. References. 2. Image Analysis. Introduction. Preprocessing. Edge/Line Detection. Segmentation. Discrete Transforms. Feature Extraction and Analysis. References. 3. Image Restoration. Introduction. Noise. Noise Removal Using Spatial Filters. Frequency Domain Filters. Geometric Transforms. References. 4. Image Enhancement. Introduction. Gray-Scale Modification. Image Sharpening. Image Smoothing. References. 5. Image Compression. Introduction. Lossless Compression Methods. Lossy Compression Methods. References. II. CVIPtools. 6. Using CVIPtools. Introduction and Overview. The Graphical User Interface. Examples. 7. CVIPtools Applications. Introduction. Automatic Skin Tumor Border Identification. Helicopter Image Enhancement and Analysis. Wavelet/Vector Quantization Compression. Image Segmentation Using a Deformable Template Algorithm. Visual Acuity/Night Vision Simulation. 8. Programming with CVIPtools. Introduction to CVIPlab. CVIP Laboratory Exercises. The CVIPtcl and CVIPwish Shells. 9. CVIPtools Library Functions. Introduction. Arithmetic and Logic Library_libarithlogic. Band Image Library_libband. Color Image Library_libcolor. Compression Library_libcompress. Conversion Library_libconverter. Display Library_libdisplay. Feature Extraction Library_libfeature. Geometry Library_libgeometry. Histogram Library_libhisto. Image Library_libimage. Data Mapping Library_libmap. Morphological Library_libmorph. Noise Library_libnoise. Segmentation Library_libsegment. Spatial Filter Library_libspatialfilter. Transform Library_libtransform. III. APPENDICES. A. The CVIPtools CD-ROM. B. Setting Up and Updating Your CVIPtools Environment. Getting CVIPtools software updates. To get via the WWW. C. CVIPtools Functions. Toolkit Libraries. Toolbox Libraries. D. CVIPtcl Command List and Corresponding CVIPtools Functions. E. CVIPtcl Function Usage Notes. F. CVIP Resources. Index.

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