中国科学院机构知识库网格
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Industrial robot base assembly based on improved Hough transform of circle detection algorithm 会议论文  OAI收割
11th World Congress on Intelligent Control and Automation (WCICA 2014), Shenyang, China, June 29 - July 4, 2014
作者:  
Xu F(徐方);  Wang S(王帅);  Li BY(李邦宇)
收藏  |  浏览/下载:33/0  |  提交时间:2015/09/15
Extracting sea-sky-line based on improved local complexity (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:  
Zhang Y.-F.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise  and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally  Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds  which is robust and can improve noise immunity of the algorithm. 2010 IEEE.  
Real time method for airport runway detection in aerial images (EI CONFERENCE) 会议论文  OAI收割
ICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, July 7, 2008 - July 9, 2008, Shanghai, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
In this paper  we propose a novel method that combines improved chain codes based edge tracking (ICCBET) with Hough transform (HT) to successfully detect the airport runway in real time. ICCBET primarily removes the short and curving lines to reduce the pixels and confirms the approximate orientation to shorten the angle range HTprocesses in later. Furthermore  through using pyramid during HT stage  the computation cost is reduced considerably to satisfy real time performance. Finally  we fix the memory by designing a chain list array for the image to avoid overflow arise from building chain list with memory dynamic allocation. Experiments on various images show that our method satisfies the real time need with about 23.5 multiples computation reduction contrast to the original Hough transform (OHT) and overcomes the blur to localize the lines with high accuracy contrast to the original chain codes based edge tracking (OCCBET). 2008 IEEE.  
A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Yao Z.-J.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However  3. applying the standard Hough transform equation to every point of the input image edge  4. according to the local threshold  6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes  traditional Hough transform can only detect the lines  2. quantizing the parameter space  and extracting a group of maximums according to the global threshold  eliminating spurious peaks which are caused by the spreading effects  and will improve the precision of tracking.  cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations  Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information  as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately  5. fixing on the endpoints of the segments according to the dynamic clustering rule  which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image  parameter and line-segment spaces  
Automatic oil tank detection algorithm based on remote sensing image fusion 会议论文  OAI收割
IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, New York
Zhang, WS; Zhang, H; Wang, C; Wu, T
收藏  |  浏览/下载:27/0  |  提交时间:2014/12/07