Image Texture Feature Extraction Based on Hadoop
[1]ZHAO Jin-chao,ZHU Hao-cong,SHEN Zhen,et al.Image Texture Feature Extraction Based on Hadoop[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):109-113.[doi:10.3969/ j. issn.1671 -6833.2015.04.025]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
36卷
Number of periods:
2015 04
Page number:
109-113
Column:
Public date:
2015-08-31
- Title:
- Image Texture Feature Extraction Based on Hadoop
- Keywords:
- Hadoop ; Tamura texture feature ; image processing ; feature extraction
- CLC:
- TP301
- DOI:
- 10.3969/ j. issn.1671 -6833.2015.04.025
- Abstract:
- With the increasing amount of digital image data,image texture feature extraction has become a keystep of digital image processing. As an excellent massive data processing and storage capacity of the opensource cloud platform,Hadoop provides a parallel computation model MapReduce,HDFS distributed file sys-tem module. In this paper,we firstly introduced Hadoop platform programming framework and Tamura texturefeatures. And then,the image texture feature extraction was carried out on the Hadoop platform. In theprocess,every Map task corresponds to an image file, every nodes work at same time.The comparison resultsshow that number of nodes have no influence about the processing time,when we have little images and theimage has low-resolution. On the contrary,Hadoop paltform is more effective.
- References:
- -
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