Computer Vision and Fuzzy Neural Systems (Hardcover)
暫譯: 電腦視覺與模糊神經系統 (精裝版)
Arun D. Kulkarni
- 出版商: Prentice Hall
- 出版日期: 2001-05-08
- 售價: $1,045
- 語言: 英文
- 頁數: 504
- 裝訂: Hardcover
- ISBN: 0135705991
- ISBN-13: 9780135705995
-
相關分類:
Computer Vision
已絕版
買這商品的人也買了...
-
$1,029Fundamentals of Data Structures in C
-
$680$537 -
$1,127Computer Vision
-
$980$774 -
$1,232Beginning Perl for Bioinformatics (Paperback)
-
$1,150$1,127 -
$600$474 -
$1,274Computer Architecture: A Quantitative Approach, 3/e(精裝本)
-
$1,029Operating System Concepts, 6/e (Windows XP Update)
-
$560$476 -
$1,900$1,805 -
$690$587 -
$780$741 -
$620$527 -
$650$514 -
$760$600 -
$590$466 -
$690$538 -
$720$569 -
$750$638 -
$560$476 -
$2,390$2,271 -
$480$379 -
$2,280$2,166 -
$1,488C++ GUI Programming with Qt 4, 2/e (Hardcover)
商品描述
- New computer vision techniques based on neural networks, fuzzy inference systems, and fuzzy-neural network models
- Detailed tutorials, hands-on exercises, real-world examples, and proven algorithms
CD-ROM: code libraries for the MATLAB neural network, fuzzy logic, and image processing toolboxes, test images from Kodak and Space Imaging, and more.
The first complete guide to applying fuzzy-neural systems in computer vision.
Recent advances in neural networks and fuzzy logic are transforming the field of computer vision, making it possible for computer vision applications to learn much as the brain does, and to handle imprecise visual data far more effectively. Now, Dr. Arun D. Kulkarni brings together the field's latest research and applications, presenting the field's first comprehensive tutorial and reference.
Kulkarni starts by reviewing the fundamentals of computer vision, and the stages of a computer vision system. He shows how these stages have traditionally been implemented via statistical techniques; then introduces approaches that incorporate neural networks, fuzzy inference systems, and fuzzy-neural network models. Coverage includes:
- Preprocessing techniques such as radiometric or geometric corrections
- Feature extraction, supervised and unsupervised classification, associative memories, and other techniques for improving accuracy and performance
- Key computer vision applications: remote sensing, medical imaging, compression, data mining, character recognition, stereovision, and more
Computer Vision and Fuzzy-Neural Systems illuminates the state-of-the-art through hands-on exercises, real-world examples, and proven algorithms. It's an essential resource for every engineer, scientist, and programmer working in computer vision and a wide range of related fields. It can also be used as a textbook for undergraduate- or graduate-level courses in computer vision.
CD-ROM IncludedContains extensive library of MATLAB command files, executable files for some useful programs, and test images from Kodak and Space Imaging.
Table of Contents
Preface.
1. Introduction.
2. Computer Vision Fundamentals.
3. Fuzzy Logic
Fundamentals.
4. Neural Network Fundamentals.
5. Preprocessing.
6.
Feature Extraction.
7. Supervised Classifiers.
8. Unsupervised
Classifiers.
9. Associative Memories.
10. Applications.
Index.
About The Author.
About The CD.
商品描述(中文翻譯)
- 基於神經網絡、模糊推理系統和模糊-神經網絡模型的新計算機視覺技術
- 詳細的教程、實作練習、真實世界的範例和經過驗證的演算法
CD-ROM:包含 MATLAB 神經網絡、模糊邏輯和影像處理工具箱的程式庫、來自 Kodak 和 Space Imaging 的測試影像等。
這是應用模糊-神經系統於計算機視覺的第一本完整指南。
最近在神經網絡和模糊邏輯方面的進展正在改變計算機視覺領域,使計算機視覺應用能夠像大腦一樣學習,並更有效地處理不精確的視覺數據。現在,Dr. Arun D. Kulkarni 將該領域的最新研究和應用整合在一起,呈現該領域首部全面的教程和參考資料。
Kulkarni 首先回顧計算機視覺的基本原理以及計算機視覺系統的各個階段。他展示了這些階段如何通過統計技術傳統實現;然後介紹了結合神經網絡、模糊推理系統和模糊-神經網絡模型的方法。內容包括:
- 預處理技術,如輻射或幾何校正
- 特徵提取、監督式和非監督式分類、聯想記憶及其他提高準確性和性能的技術
- 主要的計算機視覺應用:遙感、醫學影像、壓縮、數據挖掘、字符識別、立體視覺等
《計算機視覺與模糊-神經系統》通過實作練習、真實世界的範例和經過驗證的演算法,照亮了最前沿的技術。這是每位從事計算機視覺及相關領域的工程師、科學家和程式設計師必備的資源,也可用作計算機視覺本科或研究生課程的教科書。
CD-ROM 包含
包含大量 MATLAB 命令檔、一些有用程式的可執行檔和來自 Kodak 和 Space Imaging 的測試影像。
目錄
前言。
1. 介紹。
2. 計算機視覺基本原理。
3. 模糊邏輯基本原理。
4. 神經網絡基本原理。
5. 預處理。
6. 特徵提取。
7. 監督式分類器。
8. 非監督式分類器。
9. 聯想記憶。
10. 應用。
索引。
關於作者。
關於 CD。