Volume 18, Issue 51 (No.3&4-صفحات انگلیسی از 83 تا 114 2005)
2005, 18(51): 251-270 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Shape-hased Image Retrieval Using a Non-Segmetntion Method Direction Histogram of Similar Edges. Journal title 2005; 18 (51) :251-270
URL: http://jsci.khu.ac.ir/article-1-1150-en.html
URL: http://jsci.khu.ac.ir/article-1-1150-en.html
Abstract: (5903 Views)
In this paper, we purpose a new algorithm for shape-based image indexing and retrieval. This new scheme efficiently extracts the image feature vector without any need to segmentation algorithms and high computation. The feature considers correlation between adjacent edges. Thus it includes information of continuous edges and lines of images and estimates shape of objects in images. With implementation of algorithms on a prototype system and using some evaluation metrics, we show the indexes are invariant relative to translation, image size, color, illumination, and small viewing positions. Experimental results show that averages of precision and recall rates of this new indexing scheme compared to other similar methods are 1.02 to 6.9 and 1.22 to 10.59 times greater respectively.
Published: 2005/05/15
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
