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CORC

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Accurate segmentation of remote sensing cages based on U-Net and voting mechanism 会议论文
Shanghai, China, October 28-31, 2021
作者:  Yu C(余创);  Liu YP(刘云鹏);  Hu ZH(胡祝华);  Xia X(夏鑫)
收藏  |  浏览/下载：8/0  |  提交时间：2022/03/15
Uncertainty Quantification in Medical Image Segmentation 会议论文
Chengdu, China, December 11-14, 2020
作者:  Li HX(李海星);  Luo HB(罗海波)
收藏  |  浏览/下载：5/0  |  提交时间：2021/11/21
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation 会议论文
Seoul, Korea, October 27 - November 2, 2019
作者:  Dong JH(董家华);  Cong Y(丛杨);  Sun G(孙干);  Hou DD(侯冬冬)
收藏  |  浏览/下载：34/0  |  提交时间：2019/12/30
Visual SHM for concrete infrastructure using a wall-climbing robot 会议论文
St. Louis, MO, United states, August 4-7, 2019
作者:  Yang L(杨亮);  Chang Y(常勇);  Jiang, Biao
收藏  |  浏览/下载：12/0  |  提交时间：2020/10/10
Deep Neural Network based Visual Inspection with 3D Metric Measurement of Concrete Defects using Wall-climbing Robot 会议论文
Macau, China, November 3-8, 2019
作者:  Yang L(杨亮);  Li, Bing;  Yang GY(杨国永);  Chang Y(常勇);  Liu ZM(刘钊铭)
收藏  |  浏览/下载：0/0  |  提交时间：2020/03/22
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation 会议论文
Seoul, Korea, October 27 - November 2, 2019
作者:  Dong JH(董家华);  Cong Y(丛杨);  Sun G(孙干);  Hou DD(侯冬冬)
收藏  |  浏览/下载：28/0  |  提交时间：2019/12/30
Semantic metric 3D reconstruction for concrete inspection 会议论文
Salt Lake City, UT, United states, June 18-22, 2018
作者:  Yang L(杨亮);  Li, Bing;  Li, Wei;  Jiang, Biao;  Xiao JZ(肖继忠)
收藏  |  浏览/下载：32/0  |  提交时间：2019/02/24
Semantic metric 3D reconstruction for concrete inspection 会议论文
Salt Lake City, UT, United states, June 18-22, 2018
作者:  Yang L(杨亮);  Li, Bing;  Li, Wei;  Jiang, Biao
收藏  |  浏览/下载：0/0  |  提交时间：2019/02/24
Computer aided endoscope diagnosis via weakly labeled data mining 会议论文
2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, September 27-30, 2015
作者:  Wang S(王帅);  Cong Y(丛杨);  Fan HJ(范慧杰);  Yang YS(杨云生);  Tang YD(唐延东)
收藏  |  浏览/下载：18/0  |  提交时间：2015/12/20
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：22/0  |  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.  

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