<--- Back to Details
First PageDocument Content
Artificial intelligence / Image search / Computer graphics / Image processing / Content-based image retrieval / Segmentation / Image texture / Color histogram / Image retrieval / Computer vision / Vision / Imaging
Date: 2011-04-29 02:50:15
Artificial intelligence
Image search
Computer graphics
Image processing
Content-based image retrieval
Segmentation
Image texture
Color histogram
Image retrieval
Computer vision
Vision
Imaging

Microsoft Word - Final Thesis

Add to Reading List

Source URL: dspace.fsktm.um.edu.my

Download Document from Source Website

File Size: 369,28 KB

Share Document on Facebook

Similar Documents

Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients Jinhui Chen1 , Toru Nakashika1 , Tetsuya Takiguchi2 , Yasuo Ariki2 1 2

DocID: 1uKpw - View Document

Content-Based Image Retrieval in Digital Libraries

DocID: 1udCS - View Document

1. B. Shah, V. Raghavan, "Space Transformation Based Approach for Effective Content-Based Image Retrieval," In International Symposium on Methodologies for Intelligent Systems, Maebashi City, Japan, OctA. Gumma

DocID: 1sTlE - View Document

Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems Thomas Deselaers, Daniel Keysers, and Hermann Ney Lehrstuhl f¨ur Informatik VI – Computer Science Department RWTH Aachen U

DocID: 1rWEf - View Document

Information science / Artificial intelligence / Information retrieval / Image search / Video hosting / Artificial intelligence applications / Social media / YouTube / Content-based image retrieval / Educational technology / Image retrieval / Tag

Lookapp for Ads – Content-based Advertising by Visual Concept Detection∗ Damian Borth Adrian Ulges

DocID: 1raSb - View Document