Lance M. Kaplan, Seung-Mok Oh, M. Cobb, J. McClellan
{"title":"Error analysis for quadtree image formation","authors":"Lance M. Kaplan, Seung-Mok Oh, M. Cobb, J. McClellan","doi":"10.1109/ICIP.2000.901059","DOIUrl":"https://doi.org/10.1109/ICIP.2000.901059","url":null,"abstract":"The quadtree image formation technique is a computationally efficient approximation to standard backprojection. Where the computational load of backprojection is O(N/sup 3/) for N sensors forming an N/spl times/N image, the quadtree method uses a divide-and-conquer strategy similar to the fast Fourier transform (FFT) to reduce the computational load down to O(N/sup 2/ log(N)). However, the quadtree introduces errors in the relative time shifts used to focus pulses. These errors reduce the signal gain in the mainlobe response for isotropic point-like targets. In addition, the oscillations of the sidelobes increase from stage to stage. This paper develops performance bounds for the mainlobe losses under far field conditions and relates these bounds to the slow-time Nyquist rate.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114608899","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":"Discovering recurrent visual semantics in consumer photographs","authors":"A. Jaimes, A. Benitez, Shih-Fu Chang, A. Loui","doi":"10.1109/ICIP.2000.899485","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899485","url":null,"abstract":"We present techniques to semi-automatically discover recurrent visual semantics (RVS)-the repetitive appearance of visually similar elements such as objects and scenes-in consumer photographs. First, we introduce the detection of \"bracketing\" (very similar photographs) using an edge-correlation metric, which outperforms the color histogram. Then, we use color and novel composition features (based on automatic region segmentation) to perform scene-level clustering of images. We use a novel sequence-weighted technique, which uses the structure of standard film (only image sequence information), to perform hierarchical clustering. We show performance results of bracketing, explore clustering evaluation, and discuss STELLA, an interactive albuming and story telling application that uses these techniques to assist users in building digital albums. The STELLA system uses a new approach to album creation: instead of automatically creating albums, it provides an interactive environment that assists users in digital album creation.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128433418","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":"Complexity-regularized denoising of Poisson-corrupted data","authors":"Juan Liu, P. Moulin","doi":"10.1109/ICIP.2000.899343","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899343","url":null,"abstract":"We apply the complexity-regularization principle to Poisson imaging. We formulate a natural distortion measure in the image space, and present a connection between complexity-regularized estimation and rate-distortion theory. For computational tractability, we apply constrained coders such as JPEG or SPIHT to solve the optimization problem approximately. Also, we design a simple predictive coder which lends itself well to our optimization problem.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128660053","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":"Analysis of Doppler ultrasound time frequency images using deformable models","authors":"J. Odobez, Emmanuel Roy, Pierre Abraham","doi":"10.1109/ICIP.2000.900918","DOIUrl":"https://doi.org/10.1109/ICIP.2000.900918","url":null,"abstract":"Doppler ultrasound is a widely used technique to study the blood flow velocity and evaluate the severity of an arterial stenosis. The envelope of maximal frequencies in the power spectrum of the signal represents important information for the characterisation of the blood flow. Classical signal processing techniques usually rely on local observations (i.e. computed at a given time instant). Therefore, they are quite unreliable in the presence of low-level signals and/or in noisy environments. In this article, we propose a new automatic method to estimate the maximal frequency profile. It is derived from image processing techniques and based on deformable models. The application of this more global method to real noisy signals gives very promising results, according to a clinical expert and in comparison with the results that we obtain with other classical methods.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128983767","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}
S. Panchanathan, Youngchoon Park, K. S. Kim, Pan-koo Kim, F. Golshani
{"title":"The role of color in content-based image retrieval","authors":"S. Panchanathan, Youngchoon Park, K. S. Kim, Pan-koo Kim, F. Golshani","doi":"10.1109/ICIP.2000.901009","DOIUrl":"https://doi.org/10.1109/ICIP.2000.901009","url":null,"abstract":"Human color perception is subjective. In addition to RGB or HSV values representing color content, psychological factors, circumstantial factors, environmental factors, and physiological factors play an important role in encapsulating the color content. Typically, only the RGB or HSV values are used in indexing and retrieval of color images. In this paper, we demonstrate the superior retrieval performance of techniques which employ all of the above factors in color retrieval. We first present the variety of factors involved in human color perception and also an evaluation of the existing color indexing methods. Several interesting problems including comparison of images in the color-perceptual domain and retrieval by color affection are illustrated as potential novel image query mechanisms.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129084288","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}
A. Capelle-Laizé, O. Alata, C. Fernandez, S. Lefèvre, J. Ferrie
{"title":"Unsupervised segmentation for automatic detection of brain tumors in MRI","authors":"A. Capelle-Laizé, O. Alata, C. Fernandez, S. Lefèvre, J. Ferrie","doi":"10.1109/ICIP.2000.901033","DOIUrl":"https://doi.org/10.1109/ICIP.2000.901033","url":null,"abstract":"In this paper, we present a new automatic segmentation method for magnetic resonance images. The aim of this segmentation is to divide the brain into homogeneous regions and to detect the presence of tumors. Our method is divided into two parts. First, we make a pre-segmentation to extract the brain from the head. Then, a second segmentation is done inside the brain. Several techniques are combined like anisotropic filtering or stochastic model-based segmentation during the two processes. The paper describes the main features of the method, and gives some segmentation results.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129632669","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":"Wavelet packet and adaptive spatial transformation of watermark for digital image authentication","authors":"Min-Jen Tsai, Kuang-Yao Yu, Yi-Zhang Chen","doi":"10.1109/ICIP.2000.900992","DOIUrl":"https://doi.org/10.1109/ICIP.2000.900992","url":null,"abstract":"A general watermarking scheme which adopts the multiresolution wavelet packet transform and content based watermarking scheme has been developed for a digital image. The systematic approach of the watermarking includes the selection of the image content, the wavelet packet transform and the implementation of total automorphism as the spatial transform for the watermark. To efficiently embed the watermark within the images and provide the robustness for the watermark detection under attacks, a modular based element classification and adjustment of the wavelet transformed coefficients has been utilized in this research. Instead of using the random number generator to create the watermark, the meaningful and recognizable seal image has been used as the watermark which provides immediately strong authentication information. In addition, the parameter settings of the choices among the transforms serve as the key information in deciphering an watermarked image without referring to the original image. Compared with other watermarking methods, our technique provides a generalized approach for watermarking with robustness.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130390997","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":"Real-time interactive object outlining using control points and smoothness parameter manipulation","authors":"O. Ikeda","doi":"10.1109/ICIP.2000.901076","DOIUrl":"https://doi.org/10.1109/ICIP.2000.901076","url":null,"abstract":"Several promising methods of outlining objects from image have been reported. They, however, do not always give accurate outlines. We construct an interactive outlining method based on the thinning process to achieve accurate, easy, and intuitive outlining for any image. In this method, the region of the band where the outline is allowed to exist is controlled, and the outline curve is edited indirectly by manipulating the smoothing parameter of the filter for the gradient field. In its implementation, the thinning process was made as non-redundant as possible. The outline curve is displayed typically in about 0.2 sec after each interactive operation on a 300 MHz PC.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130486888","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}
Dongxiang Xu, Xiaojian Kang, Jenq-Neng Hwang, Chun Yuan
{"title":"Information theoretic analysis of plaque in MR imaging","authors":"Dongxiang Xu, Xiaojian Kang, Jenq-Neng Hwang, Chun Yuan","doi":"10.1109/ICIP.2000.901038","DOIUrl":"https://doi.org/10.1109/ICIP.2000.901038","url":null,"abstract":"Magnetic resonance (MR) imaging and analysis have become one of the most important tools in medical research and clinical applications. To quantitatively evaluate the quality of MR images, some research work has been done previously. However, most of the research was only based on 2D spin echo images which can hardly be applied to atherosclerosis study. In this paper, we apply Shannon's information theory for optimal MR imaging and lesion index analysis. First, we review the information content (IC) which is used as a subjective criterion of image quality measurement in our work. Then we extend the existing spatial spectrum model to the 3D time-of-flight (ToF) imaging technique and find the optimal imaging resolution with which the maximum image information content can be obtained. A theoretical proof of its uniqueness is also given. At last, a lesion index system is proposed and developed for the blood vessel wall plaque analysis in our study. It is used to determine atherosclerotic lesion complexity and identify lesion changes over time. Some phantom and in vivo MR images are analyzed along with examples to demonstrate the performance.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"5 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126916014","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":"On learning texture edge detectors","authors":"Stefan Will, L. Hermes, J. Buhmann, J. Puzicha","doi":"10.1109/ICIP.2000.899596","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899596","url":null,"abstract":"Texture is an inherently non-local image property. All common texture descriptors, therefore, have a significant spatial support which renders classical edge detection schemes inadequate for the detection of texture boundaries. In this paper we propose a novel scheme to learn filters for texture edge detection. Textures are defined by the statistical distribution of Gabor filter responses. Optimality criteria for detection reliability and localization accuracy are suggested in the spirit of Canny's edge detector. Texture edges are determined as zero crossings of the difference of the two a posteriori class distributions. An optimization algorithm is designed to determine the best filter kernel according to the underlying quality measure. The effectiveness of the approach is demonstrated on texture mondrians composed from the Brodatz album and a series of synthetic aperture radar (SAR) imagery. Moreover, we indicate how the proposed scheme can be combined with snake-type algorithms for prior-knowledge driven boundary refinement and interactive annotation.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123229241","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}