資料來源:
TAAZE 讀冊
Biomedical Image Analysis [electronic resource] : Tracking / by Scott T. Acton, Nilanjan Ray.
- 作者： Acton, Scott T. author.
- 其他作者：
- 其他題名：
- Synthesis Lectures on Image, Video, and Multimedia Processing,
- 出版： Cham : Springer International Publishing :Imprint: Springer 2006.
- 叢書名： Synthesis Lectures on Image, Video, and Multimedia Processing,
- 主題： Engineering. , Electrical engineering. , Signal processing. , Technology and Engineering. , Electrical and Electronic Engineering. , Signal, Speech and Image Processing .
- 版本：1st ed. 2006.
- ISBN： 9783031022371
- URL：
Electronic resource
-
讀者標籤：
- 系統號： 005282035 | 機讀編目格式
館藏資訊
藉由性別教育課程的實施，不僅能達成「兩性」平等的教育，更透過多元觀點，不斷的反省與學習，學生能夠培養差異的尊重、瞭解多元的價值，進而破除學生的性別歧視、偏見與刻板化印象。
本書融合性教育與性別平等教育，提供讀者國內外性別教育理論與研究之基礎，且為了使教師上課增添趣味，書中每一章均有許多搭配課程內容之小活動，方便於課堂實施，亦可以有效提高學生的參與程度，而章節中穿插了四格漫畫，不但增加書本的可讀性，更能提升學生的閱讀興趣。
摘要註
In biological and medical imaging applications, tracking objects in motion is a critical task. This book describes the state-of-the-art in biomedical tracking techniques. We begin by detailing methods for tracking using active contours, which have been highly successful in biomedical applications. The book next covers the major probabilistic methods for tracking. Starting with the basic Bayesian model, we describe the Kalman filter and conventional tracking methods that use centroid and correlation measurements for target detection. Innovations such as the extended Kalman filter and the interacting multiple model open the door to capturing complex biological objects in motion. A salient highlight of the book is the introduction of the recently emerged particle filter, which promises to solve tracking problems that were previously intractable by conventional means. Another unique feature of Biomedical Image Analysis: Tracking is the explanation of shape-based methods for biomedical image analysis. Methods for both rigid and nonrigid objects are depicted. Each chapter in the book puts forth biomedical case studies that illustrate the methods in action.
內容註
Introduction -- Active Contours for Tracking -- Bayesian Tracking and the Kalman Filter -- Particle Filters and Multi-Target Tracking -- Tracking Shapes by Sampling.