From Gestalt Theory to Image Analysis: A Probabilistic Approach
暫譯: 從格式塔理論到影像分析：一種機率方法

Agnès Desolneux, Lionel Moisan, Jean-Michel Morel

From Gestalt Theory to Image Analysis: A Probabilistic Approach
  • 出版商: Springer
  • 出版日期: 2007-12-18
  • 售價: $2,370
  • 貴賓價: 9.5 折 $2,252
  • 語言: 英文
  • 頁數: 276
  • 裝訂: Hardcover
  • ISBN: 0387726357
  • ISBN-13: 9780387726359
  • 相關分類: 影像辨識 Image-recognition

    • 海外代購書籍(需單獨結帳)

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商品描述

Description

This book introduces the reader to a recent theory in Computer Vision yielding elementary techniques to analyse digital images. These techniques are inspired from and are a mathematical formalization of the Gestalt theory. Gestalt theory, which had never been formalized is a rigorous realm of vision psychology developped between 1923 and 1975.

From the mathematical viewpoint the closest field to it is stochastic geometry, involving basic probability and statistics, in the context of image analysis.

 The book is intended for a multidisciplinary audience of researchers and engineers. It is self contained in three aspects: mathematics, vision and algorithms, and requires only a background of elementary calculus and probability. A large number of illustrations, exercises and examples are included. The authors maintain a public software, MegaWave, containing implementations of most of the image analysis techniques developed in the book.

商品描述(中文翻譯)

**描述**

本書向讀者介紹了一種近期的計算機視覺理論，提供了分析數位影像的基本技術。這些技術受到格式塔理論的啟發，並對其進行了數學形式化。格式塔理論是一個嚴謹的視覺心理學領域，於1923年至1975年間發展，但從未被正式化。

從數學的角度來看，與之最接近的領域是隨機幾何，涉及基本的概率和統計，並應用於影像分析的背景下。

本書旨在為多學科的研究人員和工程師提供參考。它在數學、視覺和算法三個方面是自足的，只需具備基本微積分和概率的背景知識。書中包含大量的插圖、練習和範例。作者維護一個公共軟體MegaWave，該軟體包含了書中開發的大多數影像分析技術的實現。

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