CORC

在结果中检索

CORC

浏览/检索结果: 共11条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
Image mosaic technique based on the information of edge (EI CONFERENCE) 会议论文
2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012, July 31, 2012 - August 2, 2012, Guilin, Guangxi, China
Wu Z.-G.; Wang M.-J.; Wang Y.-Q.
收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25
Image mosaic is an important branch in the field of image processing. This paper designs and realizes an image mosaic technique based on the information of edge. The technology is suitable for engineering application. First of all  two images of the adjoining frames are processed by convolution operation  get the edge images. And then we cut edge image into pieces and compute their spatial frequency. According to the value of the spatial frequency select reasonable registration model group. We compute correlation strength and the value of movement offset which are the model group and the current frame edge image. We can complete image mosaic by them. We use video sequence which of the resolution is 1024 * 768 do the experiment. The results show that the method has good effect and strong adaptability. Algorithm is high efficiency which running time is 24 ms. It is suitable for real-time processing requirements of the application. This method is an effective mosaic technique which is suitable for engineering application. 2012 IEEE.  
Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文
2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico
Ding N.; Liu Y.
收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25
Image registration is a key technique in pattern recognition and image processing  and it is widely used in many application areas such as computer vision  remote sensing  image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly  feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then  pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then  the well match points are used to estimate the best affine transform parameters by least squares minimization. At last  the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.  
Image parallel processing based on GPU (EI CONFERENCE) 会议论文
2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
Zhang N.; Wang J.-L.; Chen Y.-S.
收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25
In order to solve the compute-intensive character of image processing  based on advantages of GPU parallel operation  parallel acceleration processing technique is proposed for image. First  efficient architecture of GPU is introduced that improves computational efficiency  comparing with CPU. Then  Sobel edge detector and homomorphic filtering  two representative image processing algorithms  are embedded into GPU to validate the technique. Finally  tested image data of different resolutions are used on CPU and GPU hardware platform to compare computational efficiency of GPU and CPU. Experimental results indicate that if data transfer time  between host memory and device memory  is taken into account  speed of the two algorithms implemented on GPU can be improved approximately 25 times and 49 times as fast as CPU  respectively  and GPU is practical for image processing. 2010 IEEE.  
Micro-motion exposure method based on PZT piezoelectric ceramics (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2009: Material and Device Technology for Sensors, June 17, 2009 - June 19, 2009, Beijing, China
Sun W.-J.; Zhang M.-H.; Meng Z.
收藏  |  浏览/下载：91/0  |  提交时间：2013/03/25
There mainly is laser digital photofinishing technique and digital photofinishing technique based on LCD consisting of TFT and LCOS in the digital photofinishing field at the present time. The former have a good many merit such as wide color gamut  high processing rate  large output size and high brightness  but his cost is very high  his maintain technique being comparatively complex  that result in difficult use for people. The utilization ratio of the latter is low because of lower resolution and lower aperture ratio for LCD  but the digital photofinishing based on LCD have lower cost and higher utilization ration  being suitable for people's current standard of living. Considering above mentioned problem  a micro-motion exposure method based on PZT piezoelectric ceramics used in digital image photofinishing is presented. The two-dimension micro-motion exposure system consisting of PZT piezoelectric ceramics  LCD panel  polarizing film and spring strip is designed. By means of PZT piezoelectric ceramics the LCD panel is removed about the one half of the pixel size of the LCD panel for four times from the original place  at the same time imaging system is exposed four times at the printing paper. The software is used to control the time synchronization  the exposure time and motion range of the LCD panel. The system has advantages such as shorter response time than 0.1seconds  lesser motion error than 0.01 microns  high stability and repeatability. Experimental results show that the proposed micro-motion exposure method improve the picture brightness and enlarge output size  at the meantime reducing the cost of the system. 2009 SPIE.  
Autofocusing technique based on image processing for remote-sensing camera (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing, September 9, 2007 - September 12, 2007, Beijing, China
Wang X.; Sun R.-C.; Xu S.-Y.
收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25
The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode  the premise doesn't exist because the scenes shot are different at any moment  which brings about difficulties to the selection of the focus measure. To evaluate the image definition  the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions  which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.  
Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Wu Y.-H.; Yu Q.-Y.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform  the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration  the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1  2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak  and it reduces processing time. Since the technique proposed uses all the image information  including all the white noise in the image especially  and it's hard to overcome the aliasing from noises  but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented  and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.  
Medical X-ray coherent scatter images processing based on the MRF model (EI CONFERENCE) 会议论文
ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China
Liu T.; Sun J.; Liu J.; Song J.
收藏  |  浏览/下载：9/0  |  提交时间：2013/03/25
Design of video auto focusing based on image processing (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Meng B.; Zhu M.; Cai C.-J.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
Adaptive Image Segmentation based on Fast Thresholding and Image Merging (EI CONFERENCE) 会议论文
16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006, November 29, 2006 - December 1, 2006, Hangzhou, China
Zhang Y.; Qu H.; Wang Y.
收藏  |  浏览/下载：10/0  |  提交时间：2013/03/25
Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for adaptive image segmentation  it can be applied in many conditions  based on thresholding technique and segments merging according to their characteristics combine with spatial position. Our earlier work of getting the entire information of the histogram could help choose the multiple thresholds. However  including complex target segmented. We describe the algorithm in detail and perform simulation experiments. The computation based on pixels can fully parallel processing to save time. 2006 IEEE.  not all the peaks of the histogram correspond to obvious structural unit in the image. Spatial information must be involved. This paper also suggests subjoining segments matching for video image tracking. They will give great help to image segmentation. The proposed algorithm can meet the real-time requirement and lead to higher segmentation accuracy  some types of texture can also be segmented well  
The improving speed post-processing technique for blocking artifact in transform coded images (EI CONFERENCE) 会议论文
Seventh IASTED International Conference on Signal and Image Processing, SIP 2005, August 15, 2005 - August 17, 2005, Honolulu, HI, United states
He B.; Cong Y.; Wang H.
收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25

©版权所有 ©2017 CSpace - Powered by CSpace