In order to perform image retrieval more effectively and accurately, a method combining fractal coding for content-based image retrieval is proposed based on the convergence rate theory of iterated function systems and the collage theorem. That is, the fractal code of the query image is applied to the images in the image library for fractal iteration, and then the obtained image is similarly matched with the query image. In terms of retrieval accuracy and retrieval speed, it is superior to other methods in the experiment. The experiment proves the effectiveness and feasibility of the algorithm. A New Method of Texture-Based Image Retrieval Combining Fractal Coding Zhang Hong-xia Ma Yan Shi Shu-jian (Department of Computer, Shanghai Normal University, china, 200234) 【Abstract】Based on the theory of the speed of convergence for iterative function system and Collage theorem, a new approach of content-based image retrieval combining fractal coding is proposed to retrieve images effectively in this paper. The fractal codes of the query image is applied and iterated on the images in the database. The iterated image is matched with the query image. The proposed method is better than other methods in accuracy and speed. The experiments show that the proposed method is effective and feasible.【Key words】 Fractal Coding; Iterative Function System; Content-based Image Retrieval
You Might Like
Recommended ContentMore
Live replay: Keysight's small probes, big knowledge, don't let the probes drag down your test results!
Control System Simulation and CAD
MIT 6.622 Power Electronics
Live playback: Wireless networking solution based on Infineon AIROC™ CYW20829 low-power Bluetooth chip
Live replay: ADI & WT·World Health MCU Pain Point Exploration Season: MCU application problems are solved with all our strength!
Open source project More
Popular Components
Searched by Users
Just Take a LookMore
Trending Downloads
Trending ArticlesMore
EEWorld
subscription
account
EEWorld
service
account
Automotive
development
circle
About Us Customer Service Contact Information Datasheet Sitemap LatestNews
Room 1530, 15th Floor, Building B,
No.18 Zhongguancun Street,
Haidian District,
Beijing, Postal Code: 100190
China
Telephone: 008610 8235 0740
京公网安备 11010802033920号
