{"title":"Segmentation of nautical chart components using mathematical morphology","authors":"C. Fernandes, N. J. Leite","doi":"10.1109/ICIP.1996.560367","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560367","url":null,"abstract":"This paper presents some procedures for segmenting nautical charts using concepts of mathematical morphology. The method discussed, based on the multi-angled parallelism, is capable of extracting overlapped connected components such as lakes, isolines, railways, canals, small symbols and strings of characters. The problem of connectivity is solved using geodesic operations. The procedures have been applied to a 1/50000 scale nautical chart of the Brazilian Navy scanned at a resolution of 300 dpi.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114224582","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":"Curve segmentation by continuous smoothing at multiple scales","authors":"C. Orrite-Uruñuela, J. E. López, A. Alcolea","doi":"10.1109/ICIP.1996.560561","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560561","url":null,"abstract":"In the case of curve description, the accurate and precise estimation of corners plays an important role. Corners exhibit a high change of curvature /spl kappa/', so we propose the location of them by means of the estimation of /spl kappa/' at different scales of smoothing. The main problem arises when the curvature is computed because of the inherent quantization. We propose to calculate the curvature of contours detected at subpixel level so that, the quantization error is reduced. Once the change of curvature has been estimated, the curve is segmented at high /spl kappa/' points. It is important to emphasise the fact that the curves are segmented before a smoothing at coarser scale is applied, otherwise two close corners could be merged as smoothing increases.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114528872","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 image digital signature system with ZKIP for the graph isomorphism","authors":"H. Kinoshita","doi":"10.1109/ICIP.1996.560431","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560431","url":null,"abstract":"In conventional digital signature techniques, secret information, which is utilized for authentication, is disclosed to the verifier. A new digital signature system for image data is proposed. This system can be used to assert the copyright of image data. In this system, a graph generated from an image which must has a signature and an isomorphic graph is concealed in this image. The ZKIP (zero knowledge interactive proof) for the graph isomorphism is applied to assert the copyright of this image. Consequently the secret information is not disclosed during the authentication process.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116200685","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}
R. Hayashibe, N. Asano, H. Hirohata, K. Okumura, S. Kondo, S. Handa, M. Takizawa, S. Sone, S. Oshita
{"title":"An automatic lung cancer detection from X-ray images obtained through yearly serial mass survey","authors":"R. Hayashibe, N. Asano, H. Hirohata, K. Okumura, S. Kondo, S. Handa, M. Takizawa, S. Sone, S. Oshita","doi":"10.1109/ICIP.1996.559503","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559503","url":null,"abstract":"A fully automatic method of detecting new lung nodules based on the subtraction method between two serial mass chest radiographs is proposed. Nodule detection is carried out following the three steps: pre-processing, subtraction and post-processing. In the pre-processing step, the outline of the bilateral lungs is extracted and modified in order to perform good subtraction between the two images to be compared. In the post-processing step, limitation and localization of candidate nodules of lung cancer are carried out. In these two steps, an evaluator function called \"simpleness\" of a single connection region is applied to identify outline of the lung and to select candidates of cancer(s).","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116467665","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}
K. Aizawa, T. Hamamoto, Y. Egi, M. Hatori, J. Yamazaki
{"title":"On sensor image compression for high pixel rate imaging: pixel parallel and column parallel architectures","authors":"K. Aizawa, T. Hamamoto, Y. Egi, M. Hatori, J. Yamazaki","doi":"10.1109/ICIP.1996.561080","DOIUrl":"https://doi.org/10.1109/ICIP.1996.561080","url":null,"abstract":"We propose a novel concept of an integration of compression and sensing in order to enhance performance of an image sensor. By integrating the compression function on the sensor plane, the image signal that has to be read out from the sensor is significantly reduced. Thus, the integration can consequently increase the pixel rate of the sensor. The compression scheme we make use of is conditional replenishment that detects and encodes moving areas. In this paper, we discuss design and implementation of two architectures for on-sensor compression. One is a pixel parallel approach and the other is a column parallel approach. We describe both approaches and design and a prototype of pixel parallel architecture.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"200 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113988574","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":"Lossy Lempel-Ziv algorithm for large alphabet sources and applications to image compression","authors":"W. Finamore, Marcelo de A. Leister","doi":"10.1109/ICIP.1996.559474","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559474","url":null,"abstract":"Two practical lossy Lempel-Ziv schemes are proposed in this paper. The schemes are suitable for compression of sources with large alphabet cardinality. Computer simulation results obtained by compressing the output of a Gaussian source revealed a performance comparable to the performance of scalar quantization followed by entropy coding. Compression of DCT transformed and subband decomposed images showed a performance close to the performance of JPEG compressed images.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114691208","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":"Accurate estimation of discontinuous optical flow by minimizing divergence related functionals","authors":"F. Guichard, L. Rudin","doi":"10.1109/ICIP.1996.559542","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559542","url":null,"abstract":"Classical definitions of the optical flow involve a conservation law, and a spatial smoothing of the velocities based on a norm of its gradient. We propose to use the divergence of the flow instead of using the gradient. So that the optical flow we obtained is the less divergent flow which satisfies the constraint defined by the conservation law. We propose also a model with occlusions, and show results of reconstructions based on the obtained estimation of the flow.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"266 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124328080","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":"Tomographic artefacts suppression via backprojection operator optimization","authors":"I. Kazantsev","doi":"10.1109/ICIP.1996.559607","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559607","url":null,"abstract":"An approach is described for determining a vector of summation weights which gives the best approximation in backprojection operation for image reconstruction from projections. An algorithm for the best choice of summation weights is presented and their influence on the reconstruction quality in the case of few projections is illustrated. Extension of the approach to the projection decomposed parts is considered. The method suggested results in artefacts suppression and reconstruction accuracy improvement.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124370483","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":"Detection of rotation and parallel translation using Hough and Fourier transforms","authors":"H. Onishi, Hisashi Suzuki","doi":"10.1109/ICIP.1996.560874","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560874","url":null,"abstract":"This paper proposes a method of, given a multilevel image called a reference image in which an arbitrary shape S lies and another multilevel image called an input image in which one shape rotated and parallel translated from S lies, computing the angle of rotation and the quantity of parallel translation. This method applies a modified version of the Hough transform proposed by O'Gorman and Clowes (1976) to the reference and input images, and computes the angle of rotation uniquely. Moreover, this method needs no extracting feature points, and is applicable to low quality images.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126535326","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":"Unsupervised multiscale speckle filtering","authors":"S. Foucher, G. Bénié, J. Boucher","doi":"10.1109/ICIP.1996.559515","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559515","url":null,"abstract":"In this paper a new speckle filter for SAR images is proposed, based on a wavelet decomposition. The N-levels decomposition of the initial image with a filter bank provides high frequency images containing wavelet coefficients and low frequency images. This analysis tool allows us to separate details, edges, ... from low frequency information (intensity averages). High frequency images are treated specifically in order to keep only significant wavelet coefficients. An adaptive filter is applied on the low frequency images during the reconstruction stage so as to eliminate the residual speckle.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128146901","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}