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沈阳自动化研究所 [10]
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会议论文 [33]
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MICROSTRUCTURE DEPENDENCE OF MECHANIC BEHAVIOR OF AN ALLOY 690
会议论文
International Conference on Mechanics, Resource and Diagnostics of Materials and Structures
作者:
Pan XM(潘学民)
;
Zhu XP(朱小鹏)
;
Lei MK(雷明凯)
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/09
Image Optimization under APC Constraint
会议论文
IPCV'15 - The 19th International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, USA, July 27-30, 2015
作者:
Cai TF(蔡铁峰)
;
Zhu F(朱枫)
;
Hao YM(郝颖明)
;
Fan XP(范晓鹏)
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2015/12/16
Image optimization
objects detection and recognition
image enhancement
Performance evaluation of image enhancement methods for object detection and recognition
会议论文
Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis, Beijing, MAY 05-07, 2015
作者:
Cai TF(蔡铁峰)
;
Zhu F(朱枫)
;
Hao YM(郝颖明)
;
Fan XP(范晓鹏)
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2015/11/18
contrast enhancement
objects detection and recognition
performance evaluation
A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle
会议论文
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Fan XP(范晓鹏)
;
Cai TF(蔡铁峰)
;
Zhu F(朱枫)
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2013/12/26
The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.
Automatic Image Segmentation Incorporating Shape Priors via Graph Cuts
会议论文
IEEE International Conference on Information and Automation (ICIA 2009), Zhuhai, China, June 22-24, 2009
作者:
Lang XP(郎咸朋)
;
Zhu F(朱枫)
;
Hao YM(郝颖明)
;
Wu QX(吴清潇)
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  |  
浏览/下载:10/0
  |  
提交时间:2012/06/06
Image Segmentation with Improved Star Shape Prior via Graph Cut
会议论文
9th Asian Conference on Computer Vision, Xi'an, China, September 23-27, 2009
作者:
Lang XP(郎咸朋)
;
Zhu F(朱枫)
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  |  
浏览/下载:36/0
  |  
提交时间:2012/10/16
Integral image based fast algorithm for two-dimensional Otsu thresholding
会议论文
1st International Congress on Image and Signal Processing, Sanya, China, May 27-30, 2008
作者:
Lang XP(郎咸朋)
;
Zhu F(朱枫)
;
Hao YM(郝颖明)
;
Ou JJ(欧锦军)
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  |  
浏览/下载:18/0
  |  
提交时间:2012/06/06
An improved particle swarm optimization based on bacterial chemotaxis
会议论文
6th World Congress on Intelligent Control and Automation, Dalian, China, June 21-23, 2006
作者:
Niu B(牛奔)
;
Zhu YL(朱云龙)
;
He XX(何小贤)
;
Zeng XP(曾祥萍)
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2012/06/06
particle swarm optimization
bacterial chemotaxis
PSOBC
Optimum design of PID controllers using only a germ of intelligence
会议论文
6th World Congress on Intelligent Control and Automation, Dalian, China, June 21-23, 2006
作者:
Niu B(牛奔)
;
Zhu YL(朱云龙)
;
He XX(何小贤)
;
Zeng XP(曾祥萍)
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2012/06/06
PID controller
bacterial foraging optimization
Solving weapon-target assignment problem using discrete particle swarm optimization
会议论文
6th World Congress on Intelligent Control and Automation, Dalian, China, June 21-23, 2006
作者:
Zeng XP(曾祥萍)
;
Zhu YL(朱云龙)
;
Nan L(南琳)
;
Hu KY(胡琨元)
;
Niu B(牛奔)
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  |  
浏览/下载:33/0
  |  
提交时间:2012/06/06
weapon-target assignment
particle swarm optimization
greedy searching strategy
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