{"title":"A Background Reconstruction Method Based on Double-background","authors":"P. Wei, Wu Kun, Chai Zhi, You Zhi-sheng","doi":"10.1109/ICIG.2007.3","DOIUrl":"https://doi.org/10.1109/ICIG.2007.3","url":null,"abstract":"In this paper, we show a new method to reconstruct and update the background. This approach is based on double-background. We use the statistical information of the pixel intensity to construct a background that represents the status during a long time, and construct another background with feedback information in motion detection that represents the recent changes at a short time. This couple of background images is fused to construct and update the background image used to motion detection. The background reconstruction algorithm can perform well on the tests that we have applied it to.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115415943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on Cell Cluster Splitting","authors":"W. Wang","doi":"10.1109/ICIG.2007.174","DOIUrl":"https://doi.org/10.1109/ICIG.2007.174","url":null,"abstract":"In the filed of biomedical engineering, it is often to use image technique for cell analysis. To recognize cells, one basic and hardest task is for cell delineation, and the cell clusters must be decomposed. In this paper, a novel algorithm based on shape information is proposed for splitting cell clusters. In the algorithm, it integrates morphological smoothing with holes filling in a pre-processing stage. Then the cell clusters are identified through a polygon approximation. Finally the cluster decompose is implemented, which consists of the detecting concave points on the contours and determining the decomposing lines. The algorithm can not only split the simple cell clusters, but also complicated clusters. In addition, this algorithm can be adopted for other applications, where separation between touching and overlapping particles is required.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"63 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114040514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guofu Ding, Jian Zhang, Yong He, Yisheng Zou, Boxing Liu
{"title":"VR-based Simulation on Material Handling Remote Operation for Engineering Machine","authors":"Guofu Ding, Jian Zhang, Yong He, Yisheng Zou, Boxing Liu","doi":"10.1109/ICIG.2007.187","DOIUrl":"https://doi.org/10.1109/ICIG.2007.187","url":null,"abstract":"VR-based technology is a feasible idea for remote distance operation. Aiming the present material handling machine status, which is widely used in mine, port, train station, etc al, in this paper, the scheme of IR-based material handling remote operating for engineering machine (VMHROEM) is presented. The frame of this system is build, and simulating theory is studied in details, which mainly includes object- oriented modeling, modeling of virtual environment, modeling of human-computer interaction. In order to testify the theory, an experimental system considering the operator, computer, working machine, worked object, is given, which is integrated into closed loop by using mapping of human-computer and communication system. Here the interacting equipment consists of dataglove, Spaceball, shutter glasses, and virtual environment is modeled by using Worldtoolkit. While the real scene includes experimental fork that is the same scale as virtual working machine, barriers, worked object and other assisting facilities. The simulating results show that the operator can efficiently complete a remote distance operating task in the condition that he can be far away from the real scene.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123845939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Multiresolution Image Fusion Based on Principle Component Analysis","authors":"Huaixin Chen","doi":"10.1109/ICIG.2007.15","DOIUrl":"https://doi.org/10.1109/ICIG.2007.15","url":null,"abstract":"A multiresolution image fusion method based on principle component analysis (PCA) is presented. A pairs of registered images are decomposed and of multi-resolution representation by wavelet transform, adaptive fusion weight value of the low frequency wavelet coefficients are resolved using PCA, the high frequency wavelet coefficients are fused by local wavelet energy maximum, then fused images is formed by inverse transforming and combining all wavelet coefficients, the proposed algorithm should keep the information of global structure and significant features from the input images. The experimental results show the proposed procedure work well in the precise feature, visibility and structure information of fused image.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121221142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Researches and Application of Algorithm on Core Characteristic Extraction for Auto-separating System of Watermelon Seeds","authors":"Sun Yong, G. Miao, Yu Dao-qin, Lihong Gang","doi":"10.1109/ICIG.2007.163","DOIUrl":"https://doi.org/10.1109/ICIG.2007.163","url":null,"abstract":"The algorithm of extracting a series of characteristic value, taking watermelon seeds as the research object, has been successfully applied into the software system of separating watermelon seeds automatically. By extracting characteristic values, like the length of orthogonal long and minor axis of the watermelon seeds, the proportion between the length and width, the area, the degree of connecting superficial pattern, the coverage degree of black region and the distribution difference of histogram gradation and screening the watermelon seeds, the software system finally divides and picks the qualified melon seeds. The system takes visual interface. It has the interactive function between man and machine, being more objective, more accurate and more convenient, compared with the hands' works. The realization of real-time image gathering function enormously enhances the speed and the efficiency. The core technology of the software system also can be served as important reference for other relevant fields.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"248 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124724707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blind Image Restoration Based on Constant Modulus with Averaging and ANFIS","authors":"Sui Li-yun, Ma Hong, Li Zheng, Ju Sheng-gen","doi":"10.1109/ICIG.2007.64","DOIUrl":"https://doi.org/10.1109/ICIG.2007.64","url":null,"abstract":"In this paper, a new approach for blurred noisy image restoration is presented. The blurred noisy image is assumed to be the output of a linear space-invariant system with an unknown point spread function contaminated by an additive noise. The scheme passes the blurred noisy image through a two-dimensional finite impulse response filter whose parameters are updated by the modified constant modulus algorithm with averaging and adaptive neuro- fuzzy inference system. When convergence occurs, the output of the filter is an estimate of the unobserved true image. Experimental results show that the proposed scheme is effective.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125121445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Medical Segmentation Using Sobolev Optical Flow","authors":"Yu Yang, Zhao Hong","doi":"10.1109/ICIG.2007.132","DOIUrl":"https://doi.org/10.1109/ICIG.2007.132","url":null,"abstract":"In computer aided detection (CAD) of the pulmonary nodules, automated analysis of nodules within the complex background of anatomic structures is extremely challenging for clinicians. The identification of the lung structures is the initial stage in CAD for improving the detection sensitivity. This paper presents a novel automated lung segmentation method for nodule detection from CT images, using the information provided about motion of the tissue within the lung and pulmonary boundaries. A deformable image registration technique, optical flow, is used to detect the structures in magnitude to difference between two adjacent slices from a CT scan. Recent research has shown that L2 -type inner product introduces a pathological Riemannian metric on the space of smooth curves. Consequently, we refine our optical flow constraint in Sobolev metrics, which induce favorable regularity properties in gradient flows. Tests with real medical images demonstrate the method and its implementation.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127350399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Algorithm for 3D Image Segmentation","authors":"Ding Zhi, Dong Yu-ning","doi":"10.1109/ICIG.2007.39","DOIUrl":"https://doi.org/10.1109/ICIG.2007.39","url":null,"abstract":"We propose a new 3D image segmentation method based on prediction, block-matching and partial 3D constraint in this paper. The algorithm only needs to set a few key points in the first image. We use intensity information and block-matching to optimize the initial condition, and consider the 3D object's characteristics at the same time. By using the partial 3D constraints we can get the result of 2D and 3D smoothness. Experimental results validate its usefulness in 3D image segmentation.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116996187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shot Boundary Detection Based on Difference Sequences of Mutual Information","authors":"Dingyuan Xia, Xuefei Deng, Qingning Zeng","doi":"10.1109/ICIG.2007.169","DOIUrl":"https://doi.org/10.1109/ICIG.2007.169","url":null,"abstract":"Aimed at the characteristics and localizations of mutual information used in shot boundary detection, a new shot boundary detection method based on difference sequences of mutual information is presented. The measure used for detecting the shot boundary is not the mutual information itself involved in the frames of video sequences, but the absolute value difference between the frames, thereby the disadvantage influences resulted from the zoom of camera or movement of object are effectively eliminated. Moreover, the two-order mutual information is introduced into the shot boundary detection to make up for the scarcity of spatial information and fully utilize the relativity of gray-level between the adjacent pixels, and the detection effect is further improved. Experimental results validate the validity of the new method.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114927847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Characteristic Preserving Binarization for Fingerprint Image","authors":"Guo Lei, Chen Da-hai, Li Hai, Chang Jiang","doi":"10.1109/ICIG.2007.68","DOIUrl":"https://doi.org/10.1109/ICIG.2007.68","url":null,"abstract":"This paper presents a new method for binarizing fingerprint image while preserving image characteristics. Firstly, a band-stop filter method is adopted to remove the noises in high frequency. At the same time, a simply- thresholded original image is passed to Gaussian low pass filter, and outlines of fingerprint region are get by applying region growing method to the filtered image. Then, background in band-pass image is filled with outlines of the fingerprint region. After these procedures, background intensity is close to zero, thus fixed threshold one is used for binarization. Our experiment results demonstrate that band- stop method can eliminate noises effectively in the fingerprint images. And binarization in outline of fingerprint can solve the problem of disturbance of the background. Segmenting foreground from background helps select threshold and keep the characteristics of fingerprint.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131285462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}