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Visual measurement of metal cutting tool wear 金属切削刀具磨损的目视测量
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.97029
D. Capson, C. Wust
{"title":"Visual measurement of metal cutting tool wear","authors":"D. Capson, C. Wust","doi":"10.1109/MDSP.1989.97029","DOIUrl":"https://doi.org/10.1109/MDSP.1989.97029","url":null,"abstract":"Summary form only given, as follows. A machine vision system has been designed and constructed for automatic visual measurement of wear patterns on metal cutting tools used for machine shop lathes. Applications of the system include (1) adaptive control of the tool cutting path based on the tool wear to ensure high-precision machining and (2) prediction of tool breakage determined from wear patterns and cutting force measurements. Phase-stepping interferometry is used to project sinusoidal patterns onto the reflective surfaces of the cutting tool. Using multiple phase shifts of the patterns, three-dimensional information about the edge of the tool can be extracted from video images. The spatial resolution of the system is on the order of 2 to 5 mu m. A description of the system together with experimental results will be given.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125970019","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}
引用次数: 0
Radar detection of co-operative targets using dual polarized radar-a multidimensional, multichannel detection problem 基于双极化雷达的协同目标雷达探测——一个多维、多通道的探测问题
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.97010
A. Macikunas, S. Haykin
{"title":"Radar detection of co-operative targets using dual polarized radar-a multidimensional, multichannel detection problem","authors":"A. Macikunas, S. Haykin","doi":"10.1109/MDSP.1989.97010","DOIUrl":"https://doi.org/10.1109/MDSP.1989.97010","url":null,"abstract":"Summary form only given, as follows. In certain circumstances, it is not possible to improve radar detection performance using conventional radar techniques, i.e. increased power, shorter pulse length, coherence, etc. If the radar polarization characteristics of the target are sufficiently different from those of the surrounding clutter environment, it is possible to improve detection through the use of polarization-domain processing. The polarization state (PS) can be viewed as adding new dimensions to the conventional 1-D echo amplitude normally used for detection. The application of a multidimensional, multichannel distance metric in the amplitude and polarization domains to detect cooperative retroreflectors with distinctive radar polarization characteristics in man-made and natural clutter environments is described. The results are based on real data collected using a partially coherent X-band weather radar system.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126181366","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}
引用次数: 0
Motion parameter estimation-from spatial-temporal matching 基于时空匹配的运动参数估计
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.96988
C. Chang, S. Chatterjee
{"title":"Motion parameter estimation-from spatial-temporal matching","authors":"C. Chang, S. Chatterjee","doi":"10.1109/MDSP.1989.96988","DOIUrl":"https://doi.org/10.1109/MDSP.1989.96988","url":null,"abstract":"Summary form only given. The problems of determining the location of the epipoles of two displaced image planes when they are displaced due either to the motion of an object along the time axis or to the displacement of stereo cameras along the space axes have been investigated. It has been assumed that a rigid object moves with respect to still stereo camera systems.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121590014","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}
引用次数: 1
A new approach to the design of perfect reconstruction two-dimensional mirror image filter bank using an auxiliary channel 提出了一种利用辅助信道设计完美重构二维镜像滤波器组的新方法
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.97141
O. Johnsen, H. Babic, S. Mitra, O. Shentov
{"title":"A new approach to the design of perfect reconstruction two-dimensional mirror image filter bank using an auxiliary channel","authors":"O. Johnsen, H. Babic, S. Mitra, O. Shentov","doi":"10.1109/MDSP.1989.97141","DOIUrl":"https://doi.org/10.1109/MDSP.1989.97141","url":null,"abstract":"Summary form only given. A novel approach to the design of perfect-reconstruction 2D mirror image filter banks, using auxiliary channel(s), is proposed. It is assumed that the filters are separable and identical in both directions. It has been shown that the structure can provide perfect reconstruction.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121904832","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}
引用次数: 0
2-D state space filter with fewer multipliers 具有较少乘法器的二维状态空间滤波器
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.97088
P. Misra, A. Shaw
{"title":"2-D state space filter with fewer multipliers","authors":"P. Misra, A. Shaw","doi":"10.1109/MDSP.1989.97088","DOIUrl":"https://doi.org/10.1109/MDSP.1989.97088","url":null,"abstract":"Summary form only given. It is shown that compared to existing realizations, a considerable reduction in the number of multipliers for hardware realizations of 2-D state-space digital filters can be achieved. This is accomplished by transformation of the given system to a block diagonal canonical structure. A computational algorithm has been developed to reduce the system to the structured form shown, and a WAVEFRONT array architecture has been proposed to implement it in hardware.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124035690","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}
引用次数: 0
New forms of RLS ladder algorithms for array processing 用于数组处理的RLS阶梯算法的新形式
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.97087
P. Strobach
{"title":"New forms of RLS ladder algorithms for array processing","authors":"P. Strobach","doi":"10.1109/MDSP.1989.97087","DOIUrl":"https://doi.org/10.1109/MDSP.1989.97087","url":null,"abstract":"Summary form only given. Two recently developed triangular array ladder algorithms are discussed. The first algorithm, ARRAYLAD 1, computes both the transversal forward/backward predictor coefficients, the ladder reflection coefficients, and the forward/backward residual energies. This is obtained at a total computational complexity of 1.5 p/sup 2/ multiplications per recursion, where p is the order of the algorithm. ARRAYLAD 1 can therefore be implemented on a triangular systolic array with three multipliers per rotational (triangular array) element in the scalar (single-channel) case. The second algorithm, ARRAYLAD 2, computes only the ladder reflection coefficients and the residual energies at a reduced computation complexity of 1.0 p/sup 2/ multiplications per recursion, hence requiring only two multipliers per triangular array element in a systolic array implementation.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124057858","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}
引用次数: 0
Optimal filter design for sampling pattern conversion 采样模式转换的优化滤波器设计
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.97090
P. Siohan
{"title":"Optimal filter design for sampling pattern conversion","authors":"P. Siohan","doi":"10.1109/MDSP.1989.97090","DOIUrl":"https://doi.org/10.1109/MDSP.1989.97090","url":null,"abstract":"Summary form only given. Two types of spatial sampling patterns, one with an orthogonal structure and one having a quincunx structure, both related by two parameters, L and K, with integer values, have been investigated. The following results have been obtained: (1) the definition of a family of diamond-shaped filters having an ideal shape for an up- or down-sampling conversion with given parameters L and K; (2) the determination of a set of constraints in the frequency domain and their equivalent in the spatial domain for linear-phase 2D finite-impulse-response (FIR) digital filters; (3) the design of 2D FIR filters with specifications and constraints depending on the parameters L and K; (4) the presentation with a zone plane of the distortion introduced by the sampling pattern conversion for various values of L and K; and (5) the cascading of two sampling pattern conversions in order to convert a (L/sub 1/, K/sub 1/) quincunx structure into a (L/sub 2/, K/sub 2/) quincunx structure.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129628964","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}
引用次数: 0
A parallel color algorithm for segmenting images of 3-D scenes 三维场景图像分割的并行彩色算法
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.97035
G. Healey
{"title":"A parallel color algorithm for segmenting images of 3-D scenes","authors":"G. Healey","doi":"10.1109/MDSP.1989.97035","DOIUrl":"https://doi.org/10.1109/MDSP.1989.97035","url":null,"abstract":"Summary form only given, as follows. A parallel color algorithm for image segmentation is presented. From an input color image, the algorithm labels each pixel in the image according to the corresponding material in the scene. This segmentation is useful for many visual tasks, including inspection and object recognition. It is shown that color information is necessary to generate this kind of segmentation for a 3-D scene. The segmentation algorithm is based on a detailed analysis of the physics underlying color image formation and can be applied to images of a wide range of materials. Image texture is dealt with in a natural way. An initial edge detection on the intensity image is used to guide the color segmentation process. The algorithm is inherently parallel and can be effectively mapped onto high-performance parallel hardware. Results generated by the algorithm on several images are presented.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124464004","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}
引用次数: 7
On the resolution capacity of wideband sensor arrays 宽带传感器阵列的分辨能力研究
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.97073
Y. Bresler, A.J. Ficker
{"title":"On the resolution capacity of wideband sensor arrays","authors":"Y. Bresler, A.J. Ficker","doi":"10.1109/MDSP.1989.97073","DOIUrl":"https://doi.org/10.1109/MDSP.1989.97073","url":null,"abstract":"Summary form only given. The superresolution estimation of bearings of wideband sources using fewer sensors than sources was addressed. The fundamental limits on the maximum number of wideband sources uniquely resolvable by a passive sensor array, called the resolution capacity of the array, were studied. The source signals are assumed to be uncorrelated zero-mean, second-order stationary, and ergodic wideband random processes occupying a common bandwidth. The array is assumed to be uniform and linear, and L>>1 Nyquist-rate samples of its output are assumed to be collected into a snapshot supervector. N>>1 such snapshots are assumed to be available.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130560943","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}
引用次数: 8
Maximum likelihood image identification and restoration based on the EM algorithm 基于EM算法的最大似然图像识别与恢复
Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI: 10.1109/MDSP.1989.97107
A. Katsaggelos
{"title":"Maximum likelihood image identification and restoration based on the EM algorithm","authors":"A. Katsaggelos","doi":"10.1109/MDSP.1989.97107","DOIUrl":"https://doi.org/10.1109/MDSP.1989.97107","url":null,"abstract":"Summary form only given. Simultaneous iterative identification and restoration have been treated. The image and the noise have been modeled as multivariate Gaussian processes. Maximum-likelihood estimation has been used to estimate the parameters that characterize the Gaussian processes, where the estimation of the conditional mean of the image represents the restored image. Likelihood functions of observed images are highly nonlinear with respect to these parameters. Therefore, it is in general very difficult to maximize them directly. The expectation-maximization (EM) algorithm has been used to find these parameters.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134182235","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}
引用次数: 8
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