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Refining edges detected by a log operator.

Refining edges detected by a log operator.

引用

proceedings - CVPR '88: computer society conference on computer Vision and pattern recognition

作者： Ulupinar, Fatih Medioni, Gerard Univ of Southern California Los Angeles CA USA

ISBN: (纸本)0818608625

The Laplacian of Gaussian (LoG) operator is one of the most popular operators used in edge detection. This operator, however, has some problems: zero-crossings do not always correspond to edges, and edges with an asymmetric profile introduce a symmetric bias between edge and zero-crossing locations. The authors offer solutions to these two problems. First, for one-dimensional signals, such as slices from images, they propose a simple test to detect true edges, and, for the problem of bias, they propose different techniques: the first one combines the results of the convolution of two LoG operators of different standard deviations, whereas the others sample the convolution with a single LoG filter at two points besides the zero-crossing. In addition to localization, these methods allow them to further characterize the shape of the edge. The authors present an implementation of these techniques for edges in 2-D images.

关键词： image processing

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Multi-dimensional robust edge detection

Multi-dimensional robust edge detection

引用

conference on computer Vision and pattern recognition (CVPR)

作者： L. Liu B.G. Schunck C.R. Meyer Image Processing Laboratory Radiology Department School of Medicine University of Michigan Ann Arbor MI USA

A multidimensional edge model is established and a first-order estimation for multidimensional edge profiles is proposed. An optimal edge location detection algorithm is developed. The advantages of the algorithm are that (1) it has little dependence on assumptions of edge models, noise models, or smoothing filters, (2) it has better abilities for detecting very weak edges and making less edge orientation errors than other edge detectors, (3) it can handle corners and complicated multidimensional image structures, and (4) it detects different edge types at the same time.< >

关键词： Robustness image edge detection Detectors Noise measurement Voting Artificial intelligence Laboratories Detection algorithms Smoothing methods Filtering theory

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Nonlinear diffusion of scalar images using well-posed differential operators

Nonlinear diffusion of scalar images using well-posed differ...

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ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： Niessen ter Haar Romeny Florack Salden Viergever Computer Vision Research Group University Hospital Utrecht Netherlands

In recent years several nonlinear diffusion schemes have been introduced. We discuss the numerical implementation of a number of current nonlinear evolution schemes, using the notion of well-posed differentiation by Gaussian kernels. The infinitesimal change of an image when increasing scale depends on the local differential invariants evaluated at the scale of the image considered, i.e. on terms of the local jet (the set of all spatial partial derivatives at that point). All these differential terms can be obtained in a well-posed fashion by a convolution of the original image with the family of the Gaussian and its derivatives. The nonlinear partial differential evaluation can thus be numerically approximated by an iterative calculation of the appropriate terms in the local jet. Examples are given for medical images.< >

关键词： image processing Partial differential equations Differentiability Biomedical imaging

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Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving

Understanding the Robustness of 3D Object Detection with Bir...

引用

2023 ieee/CVF conference on computer Vision and pattern recognition, CVPR 2023

作者： Zhu, Zijian Zhang, Yichi Chen, Hai Dong, Yinpeng Zhao, Shu Ding, Wenbo Zhong, Jiachen Zheng, Shibao Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China Institute for Ai Tsinghua University BNRist Center Thbi Lab Dept. of Comp. Sci. and Tech. China School of Computer Science and Technology Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Information Materials and Intelligent Sensing Laboratory of Anhui Province China Saic Motor Ai Lab Zhongguancun Laboratory China

ISBN: (纸本)9798350301298

3D object detection is an essential perception task in autonomous driving to understand the environments. The Bird's-Eye-View (BEV) representations have significantly improved the performance of 3D detectors with camera inputs on popular benchmarks. However, there still lacks a systematic understanding of the robustness of these vision-dependent BEV models, which is closely related to the safety of autonomous driving systems. In this paper, we evaluate the natural and adversarial robustness of various representative models under extensive settings, to fully understand their behaviors influenced by explicit BEV features compared with those without BEV. In addition to the classic settings, we propose a 3D consistent patch attack by applying adversarial patches in the 3D space to guarantee the spatiotemporal consistency, which is more realistic for the scenario of autonomous driving. With substantial experiments, we draw several findings: 1) BEV models tend to be more stable than previous methods under different natural conditions and common corruptions due to the expressive spatial representations;2) BEV models are more vulnerable to adversarial noises, mainly caused by the redundant BEV features;3) Camera-LiDARfusion models have superior performance under different settings with multi-modal inputs, but BEV fusion model is still vulnerable to adversarial noises of both point cloud and image. These findings alert the safety issue in the applications of BEV detectors and could facilitate the development of more robust models. © 2023 ieee.

关键词： Autonomous driving

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Visual inspection of machined parts

Visual inspection of machined parts

引用

conference on computer Vision and pattern recognition (CVPR)

作者： B.R. Modayur L.G. Shapiro R.M. Haralick Department of Electrical Engineering FT-10 University of Washington Seattle WA USA Department of Computer Science & Engineering FR-35 University of Washington Seattle WA USA

A CAD-model-based machine vision system for dimensional inspection of machine parts is described, with emphasis on the theory behind the system. The original contributions of this work are: (1) the use of precise definitions of geometric tolerances suitable for use in image processing. (2) the development of measurement algorithms corresponding directly to these definitions, (3) the derivation of the uncertainties in the measurement tasks, and (4) the use of this uncertainty information in the decision-making process. Initial experimental results have verified the uncertainty derivations statistically and proved that the error probabilities obtained by propagating uncertainties are lower than those obtainable without uncertainty propagation.< >

关键词： Inspection Solid modeling Machine vision image processing Decision making Feature extraction Testing computer science Measurement uncertainty Error probability

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Interaction with on-screen objects using visual gesture recognition

Interaction with on-screen objects using visual gesture reco...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： R. Kjeldsen J. Kender IBM Thomas J. Watson Research Center Yorktown Heights NY USA Department of Computer Science Columbia University New York NY USA

This paper will review the design of a working system that visually recognizes hand gestures for the control of a window based user interface. After an overview of the system, it will explore one aspect of gestural interaction in depth, hand tracking, and what is needed for the user to be able to interact comfortably with on-screen objects. We describe how the location of the hand is mapped to a location on the screen, and how it is both necessary and possible to smooth the camera input using a non-linear physical model of the cursor. The performance of the system is examined, especially with respect to abject selection. We show how a standard HCI model of object selection (Fitts' Law) can be extended to model the selection performance of free-hand pointing.

关键词： image segmentation Feature extraction Control systems User interfaces Cameras Mice image resolution Color image processing Human computer interaction

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A linear generalized Hough transform and its parallel implementation

A linear generalized Hough transform and its parallel implem...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： Z.N. Li B.G. Yao F. Tong School of Computing Science Simon Fraser University Burnaby BC Canada

A linear generalized Hough transform (LIGHT) in which a linear numeric pattern is used to replace the single peak in the original generalized Hough transform (GHT) is presented. The LIGHT is more capable of detecting partially occluded objects. Moreover, it is well-suited for parallelization, especially on SIMD array processors. Several sequential and parallel LIGHT algorithms have been developed. Preliminary results for parallel implementation were obtained from and SIMD one-dimensional array processor (the AIS-4000 vision processor with 512 processing.elements).< >

关键词： Voting Object detection Object recognition pattern matching Parallel algorithms Shape image edge detection

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Risk assessment of coronary arteries heart disease based on neuro-fuzzy classifiers

Risk assessment of coronary arteries heart disease based on ...

引用

17th Iranian conference in Biomedical Engineering, ICBME 2010

作者： Zand, Mohammad Danesh Ansari, Amir Hossein Lucas, Caro Zoroofi, Reza Aghaee Zade Department of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

ISBN: (纸本)9781424474844

Coronary artery heart disease is one of the main reasons of death in under development countries such as Iran. Based on vagueness in data and uncertainty in decision making finding an optimal way for diagnosis would be helpful. The main goal of this article is to change the linguistic terms which doctors use for representing coronary heart disease possibility into classified stages. Indeed the medical diagnosis can be used as an issue of pattern recognition by an input vector of features introduced to a system so the corresponding risk of a particular disease can be estimated with this system. in this paper we used an adaptive network-based inference system in order to assess the risk of coronary artery heart diseases. With this point of view that fault in medical diagnosis are more errors of omission than of commission, we are going to reduce this diagnosis defect with Neuro-fuzzy networks such as Multi-Layer Perceptron (MLP) and an inference Neuro-fuzzy network such as ANFIS. In the last section we will compare these methods to show that ANFIS can obtain the best accommodation with doctor's opinions. © 2010 ieee.

关键词： Diagnosis

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On region merging: the statistical soundness of fast sorting, with applications

On region merging: the statistical soundness of fast sorting...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： F. Nielsen R. Nock Sony CS Laboratories FRL Shinagawa Tokyo Japan DSI-Universite Antilles-Guyane Schoelcher France

This work explores a statistical basis for a process often described in computer vision: image segmentation by region merging following a particular order in the choice of regions. We exhibit a particular blend of algorithmics and statistics whose error is, as we formally show, close to the best possible. This approach can be approximated in a very fast segmentation algorithm for processing.images described using most common numerical feature spaces. Simple modifications of the algorithm allow us to cope with occlusions and/or hard noise levels. Experiments on grey-level and color images, obtained with a short C-code, display the quality of the segmentations obtained.

关键词： Merging Sorting image segmentation Application software computer vision Error analysis computer errors Noise level Color Displays

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Research on super-resolution reconstruction of single-frame image of infrared focal plane polarization imaging 8

Research on super-resolution reconstruction of single-frame ...

引用

8th Symposium on Novel Photoelectronic Detection Technology and Applications

作者： Yuan, Hongwu Wang, Yiqing Xu, Guoming Wang, Feng School of Big Data and Artificial Intelligence Anhui Xinhua University Hefei China Key Laboratory of Polarization Imaging Detection Technology in Anhui Province Hefei China Institute of Intelligent Information Anhui Xinhua University Hefei China School of Internet Anhui University Hefei China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Since the low resolution of infrared focal plane arrays may degrade the performance of polarization imaging significantly, it is necessary to study the super-resolution reconstruction method for superior image resolution and contrast. Four typical single-frame image reconstruction methods are studied in this paper, and the comparison of reconstruction result of these methods is conducted by using subjective and objective evaluation. The experiments show that the reconstruction method based on generative adversarial network performs poorly in the evaluation indexes such as peak signal-to-noise ratio and structural similarity, but its reconstructed image has good visual effects, rich texture and details, and has a strong ability to suppress background noise, and using the reconstructed images for polarization information parsing can significantly improve the accuracy of polarization information parsing and the effect of polarization image fusion. © 2022 SPIE

关键词： image fusion

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