| 000 | 01786camuu2200361 a 4500 | |
| 001 | 000045686986 | |
| 005 | 20120118133624 | |
| 008 | 120117s2008 ne a b 001 0 eng d | |
| 015 | ▼a GBA734659 ▼2 bnb | |
| 020 | ▼a 9780123725387 (pbk.) | |
| 020 | ▼a 0123725380 (pbk.) | |
| 035 | ▼a (KERIS)REF000016550129 | |
| 040 | ▼a UKM ▼c UKM ▼d BAKER ▼d BWKUK ▼d YDXCP ▼d NLGGC ▼d UWW ▼d 211009 | |
| 050 | 4 | ▼a TA1637 ▼b .N58 2008 |
| 082 | 0 4 | ▼a 006.37 ▼2 22 |
| 084 | ▼a 006.37 ▼2 DDCK | |
| 090 | ▼a 006.37 ▼b N736f2 | |
| 100 | 1 | ▼a Nixon, Mark S. |
| 245 | 1 0 | ▼a Feature extraction and image processing / ▼c Mark S. Nixon, Alberto S. Aguado. |
| 246 | 1 4 | ▼a Feature extraction & image processing |
| 250 | ▼a 2nd ed. | |
| 260 | ▼a Amsterdam ; ▼a Boston ; ▼a London : ▼b Academic, ▼c 2008. | |
| 300 | ▼a xv, 405 p. : ▼b ill. ; ▼c 25 cm. | |
| 500 | ▼a Previous ed.: Oxford: Newnes, 2002. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 505 | 0 | ▼a 1. Introduction -- 2. Images, sampling and frequency domain processing -- 3. Basic image processing operations -- 4. Low-level feature extraction (including edge detection) -- 5. Feature extraction by shape matching -- 6. Flexible shape extraction (snakes and other techniques) -- 7. Object description -- 8. Introduction to texture description, segmentation and classification -- 9. Appendix 1: example worksheets -- 10. Appendix 2: camera geometry fundamentals -- 11. Appendix 3: lease squares analysis -- 12. Appendix 4: principal components analysis. |
| 650 | 0 | ▼a Computer vision. |
| 650 | 0 | ▼a Computer vision ▼x Mathematics. |
| 650 | 0 | ▼a Pattern recognition systems. |
| 650 | 0 | ▼a Image processing ▼x Digital techniques. |
| 700 | 1 | ▼a Aguado, Alberto S. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.37 N736f2 | 등록번호 121216416 (7회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
* Essential reading for engineers and students working in this cutting edge field * Ideal module text and background reference for courses in image processing and computer vision * Companion website includes worksheets, links to free software, Matlab files and new demonstrationsImage processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working Matlab and Mathcad files on the web.Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.The new edition includes:* New coverage of curvature in low-level feature extraction (SIFT and saliency) and features (phase congruency); geometric active contours; morphology; camera models* Updated coverage of image smoothing (anistropic diffusion); skeletonization; edge detection; curvature; shape descriptions (moments)* Essential reading for engineers and students working in this cutting edge field* Ideal module text and background reference for courses in image processing and computer vision* Companion website includes worksheets, links to free software, Matlab files and solutions
정보제공 :
목차
Introduction; Images, smapling and frequency domain processing; Basic image processing operations; Low-level feature extraction and edge detection; Feature extraction by shape matching; Flexible shape extraction; Object description; Intoduction to texture description, segmentation and classification; Appendices
정보제공 :