menu 简单麦麦
account_circle

图像数据挖掘基础:分析、特征、分类和检索-Fundamentals of Image Data Mining: Analysis, Features, Classification and Retri

帮助2581人找到了他们想要的文件
上传于 2020-03-02 0次下载 5142次围观
文件编号:6150
文件详情
标题(title):Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval
图像数据挖掘基础:分析、特征、分类和检索
作者(author):Dengsheng Zhang
出版社(publisher):Springer International Publishing
大小(size):18 MB (18391354 bytes)
格式(extension):pdf
注意:如果文件下载完成后为无法打开的格式,请修改后缀名为格式对应后缀



This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments.
Topics and features: describes the essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms; reviews a varied range of state-of-the-art models, algorithms, and procedures for image mining; emphasizes how to deal with real image data for practical image mining; highlights how such features as color, texture, and shape can be mined or extracted from images for image representation; presents four powerful approaches for classifying image data, namely, Bayesian classification, Support Vector Machines, Neural Networks, and Decision Trees; discusses techniques for indexing, image ranking, and image presentation, along with image database visualization methods; provides self-test exercises with instructions or Matlab code, as well as review summaries at the end of each chapter.






This easy-to-follow work illuminates how concepts from fundamental and advanced mathematics can be applied to solve a broad range of image data mining problems encountered by students and researchers of computer science. Students of mathematics and other scientific disciplines will also benefit from the applications and solutions described in the text, together with the hands-on exercises that enable the reader to gain first-hand experience of computing.


Table of contents :
Front Matter ....Pages i-xxxi
Front Matter ....Pages 1-1
Fourier Transform (Dengsheng Zhang)....Pages 3-23
Windowed Fourier Transform (Dengsheng Zhang)....Pages 25-34
Wavelet Transform (Dengsheng Zhang)....Pages 35-44
Front Matter ....Pages 45-47
Color Feature Extraction (Dengsheng Zhang)....Pages 49-80
Texture Feature Extraction (Dengsheng Zhang)....Pages 81-111
Shape Representation (Dengsheng Zhang)....Pages 113-154
Front Matter ....Pages 155-159
Bayesian Classification (Dengsheng Zhang)....Pages 161-178
Support Vector Machine (Dengsheng Zhang)....Pages 179-205
Artificial Neural Network (Dengsheng Zhang)....Pages 207-242
Image Annotation with Decision Tree (Dengsheng Zhang)....Pages 243-259
Front Matter ....Pages 261-261
Image Indexing (Dengsheng Zhang)....Pages 263-270
Image Ranking (Dengsheng Zhang)....Pages 271-287
Image Presentation (Dengsheng Zhang)....Pages 289-304
Back Matter ....Pages 305-314
下载方式
购买后可查看 购买按钮在底部

常见问题

  • question_answer
    解压密码,提取码在哪?
    keyboard_arrow_down
    • 均在下载旁边哦,请注意查看,如果没有则是不需要密码
  • question_answer
    文件不符合描述怎么办?
    keyboard_arrow_down
    • 如果有文件问题,可以通过 卖家联系方式 联系卖家,如果 联系不上卖家 或 卖家无法解决则可以在我的订单页面申请售后
  • question_answer
    其他
    keyboard_arrow_down
    • 3.本文件为公益分享,文件由网上采集而来,如有侵权等问题,请及时联系客服删除
      常见问题及官方客服联系方式:点击前往
      售后问题处理方式:点击前往
-到底部了哦-
微信扫码支付
图像数据挖掘基础:分析、特征、分类和检索-Fundamentals of Image Data Mining: Analysis, Features, Classification and Retri
支付金额: 共计:¥0.0

添加收藏

创建新合集