DocumentCode :
2955441
Title :
Study on Image Target Enhancement Algorithm and Feature Location Technique
Author :
He, Yongjian ; Wang, Fei ; Feng, Shoupeng ; Jiang, Caigui ; Guo, Yu
Author_Institution :
Inst. of Artificial Intell. & Robot., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2011
fDate :
30-31 July 2011
Firstpage :
1
Lastpage :
4
Abstract :
Image identification is a new technology in these two decades. This main content of this technology is to study the classification and description of some objects or processes (image in general), while the reasonable application of enhancement algorithm and feature location technology of the image target can effectively increase the accuracy and rate of the image identification. This essay firstly performs pointed smoothing filtering median filtering, sharpening filtering and other pretreatments for the original images to eliminate the noises in the images and enhance effectively the whole images. Then, on the basis of this, edge detection and segmentation of target sub-image are performed. At last, a simple image identification system is realized by applying dilation and bite and other image morphology algorithms. The essay uses human faces as detection object to realize target enhancement, feature location and target identification and other related algorithms.
Keywords :
edge detection; face recognition; image denoising; image enhancement; image segmentation; median filters; smoothing methods; edge detection; feature location technique; feature location technology; human face detection; image dilation; image identification system; image morphology algorithm; image segmentation; image target enhancement algorithm; median filtering; noise elimination; pointed smoothing filtering; sharpening filtering; Feature extraction; Humans; Low pass filters; Mouth; Noise; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
Type :
conf
DOI :
10.1109/ICCASE.2011.5997733
Filename :
5997733
Link To Document :
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