Paper Title:
Retrieval Algorithm of Images and its Applications in Recognition of Metallographic Pictures
  Abstract

In order to improve the retrieval speed and precision of images, the improved algorithm of extraction of image color features based on the both RGB and HSV color models was proposed in this paper. The algorithm can remove the repetitious vectors of compost in quantization process. While evenly quantizing model space, we can bring the compression of dimensions of image color features into full play and guarantee not to lose the main components of color features for color image. Then using RBF neural network and incorporating the values of color features, the image retrieval can be performed. The experimental results show that the data model of image color features in precise and high effective terms can be established and described by this algorithm, and the satisfactory results are obtained by applying the algorithm to the recognition of metallographic pictures for metallic materials. In addition, the algorithm can also be used in the evaluation of the discoloration of metallic casting alloys.

  Info
Periodical
Advanced Materials Research (Volumes 291-294)
Chapter
CAD/CAM/CAE
Edited by
Yungang Li, Pengcheng Wang, Liqun Ai, Xiaoming Sang and Jinglong Bu
Pages
2356-2359
DOI
10.4028/www.scientific.net/AMR.291-294.2356
Citation
L. Ling, W. X. Ling, "Retrieval Algorithm of Images and its Applications in Recognition of Metallographic Pictures", Advanced Materials Research, Vols. 291-294, pp. 2356-2359, 2011
Online since
July 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yan Fen Mao, Ming Chen
Chapter 7: Computer Application in Design and Manufacturing (1)
Abstract:This paper addresses the problem of dissimilarity measurement and incorporates an auto-correlogram operator into probabilistic tracking....
3860
Authors: Qiu Chun Jin, Xiao Li Tong
Chapter 4: Materials Processing Technology
Abstract:Color quantization is an important technique for image analysis that reduces the number of distinct colors for a color image. A novel color...
650
Authors: Guo Bing Pan, Fang Xu, Jiao Liao Chen
Chapter 4: Biomedical Manufacturing
Abstract:Wireless Capsule Endoscopy (WCE) generates a large number of images in one examination of a patient. It is very laborious and time-consuming...
307
Authors: Yong Hu
Chapter 11: Image Processing Technology
Abstract:In this literature, an automatic white balance adjustment algorithm based on Gaussian decomposition is proposed. The improved algorithm is...
2542
Authors: Xiao Min Xie, Chang Ming Wang, Ai Jun Zhang
Chapter 7: Developments in Medical Technologies and Images Processing Technologies
Abstract:The aim of the paper is to provide three enhancement methods for processing color images, including: RGB Histogram equalization, the method...
1664