The proceedings contain 14 papers. The topics discussed include: detecting moving objects in airborne forward looking infra-red sequences;moving target detection in infrared imagery using a regularized CDWT optical fl...
ISBN:
(纸本)0769500501
The proceedings contain 14 papers. The topics discussed include: detecting moving objects in airborne forward looking infra-red sequences;moving target detection in infrared imagery using a regularized CDWT optical flow;dual-band ATR for forward-looking infrared images;extending color vision methods to bands beyond the visible;a near-infrared fusion scheme for automatic detection of vehicle passengers;invariants of the LWIR thermophysical model;passive night vision sensor comparison for unmanned ground vehicle stereo vision navigation;the dynamic database (DDB) program;adaptive target recognition;a ground truth tool for synthetic aperture radar (SAR) imagery;quasi-invariants for recognition of articulated and non-standard objects in SAR images;morphological shared-weight neural networks: a tool for automatic target recognition beyond the visible spectrum;a machinevision system using a laser radar applied to robotic fruit harvesting;LADAR scene description using fuzzy morphology and rules;and hyper-spectral imageprocessingapplications on the SIMD pixel processor for the digital battlefield.
Color is an important factor in Agricultural and the Food industry. Agricultural or prepared food products are often graded by producers and consumers using color parameters. Color is used to estimate maturity, sort p...
详细信息
Color is an important factor in Agricultural and the Food industry. Agricultural or prepared food products are often graded by producers and consumers using color parameters. Color is used to estimate maturity, sort produce for defects, but also perform genetic screenings or make an aesthetic judgement. The task of sorting produce following a color scale is very complex, requires special illumination and training. Also, this task cannot be performed for long durations without fatigue and loss of accuracy. This paper describes a machinevision system designed to perform color classification in real-time. applications for sorting a variety of agricultural products are included: e.g. seeds, meat, baked goods, plant and wood. First the theory of color classification of agricultural and biological materials is introduced. Then, some tools for classifier development are presented. Finally, the implementation of the algorithm on real-time imageprocessing hardware and example applications for industry is described. This paper also presents an image analysis algorithm and a prototype machinevision system which was developed for industry. This system will automatically locate the surface of some plants using digital camera and predict information such as size, potential value and type of this plant. The algorithm developed will be feasible for real-time identification in an industrial environment.
In this paper, we present several methods to improve the processing speed of an optoelectronic morphological industrial inspection processor, which uses an incoherent correlator as its optical hardware and the extensi...
详细信息
ISBN:
(纸本)0819431230
In this paper, we present several methods to improve the processing speed of an optoelectronic morphological industrial inspection processor, which uses an incoherent correlator as its optical hardware and the extensive complementary encoding morphological hit-or-miss transform as its detection algorithm. The first method is using a multi-channel correlation scheme, in which four database images are processed simultaneously so that the LCD panel needs only update 25 times for a set of 100 images, for instance. The second method is using a postprocessing method for the optical correlation output plane. An absolute difference measurement (ADM) algorithm is applied for measuring the similarity of the optical correlation resultant images, and then the similarity between the tested and the reference image can be deduced. By this method, the complicated preprocessing procedure including the extensive complementary encoding can be simplified because we can directly deal with the gray-scale images. The third method is using a photoreactive correlator instead of the incoherent correlator so that there is no the update rate limitation of the LCD panel, which was a main problem facing any optoelectronic hybrid system.
This paper presents a new algorithm for object motion detection and trajectory tracking. This method was developed as part of a machinevision system for human fertility analysis. Fertility analysis is based on the am...
详细信息
This paper presents a new algorithm for object motion detection and trajectory tracking. This method was developed as part of a machinevision system for human fertility analysis. Fertility analysis is based on the amount of spermatozoa in semen samples and their type of movement. Two approaches were tested to detect the movement of the spermatozoa, image subtraction, and optical flow. image subtraction is a simple and fast method but it has some complications to detect individual motion when large amounts of objects are presented. The optical flow method is able to detect motion but it turns to be computationally time expensive. It does not generate a specific trajectory of each spermatozoon, and it does not detect static spermatozoa. The algorithm developed detects object motion through an orthogonal search of blocks in consecutive frames. Matching of two blocks in consecutive frames is defined by square differences. A dynamic control array is used to store the trajectory of each spermatozoa, and to deal with all the different situations in the trajectories like, new spermatozoa entering in a frame, spermatozoa leaving the frame, and spermatozoa collision. The algorithm developed turns out to be faster than the optical flow algorithm and solves the problem of the image subtraction method. It also detects static spermatozoa, and generates a motion vector for each spermatozoon that describes their trajectory.
Traditionally, automated optical inspection techniques have been sufficient to find defects on wafers. However, defects smaller than 0.25 μ simply cannot be resolved by light optics due to optical limitation. KLA-Ten...
详细信息
Traditionally, automated optical inspection techniques have been sufficient to find defects on wafers. However, defects smaller than 0.25 μ simply cannot be resolved by light optics due to optical limitation. KLA-Tencor SEMSpec is an advanced scanning electron-beam wafer inspection system that can detect defects down to 0.1 μ. The electron beam is scanned over the specimen surface, causing secondary electrons to be emitted from the surface where the beam impinges. These emitted secondary electrons are detected and the resulting image is formed so that conventional imageprocessing techniques can also be applied. In the inspection sequence, fundamental parameters such as pixel size, defect detection sensitivity threshold, signal averaging, and cluster distance can be adjusted.
Content-based image retrieval (CBIR) refers to the ability to retrieve images on the basis of image content. Given a query image, the goal of a CBIR system is to search the database and return the n most visually simi...
详细信息
ISBN:
(纸本)0262511061
Content-based image retrieval (CBIR) refers to the ability to retrieve images on the basis of image content. Given a query image, the goal of a CBIR system is to search the database and return the n most visually similar images to the query image. In this paper, we describe an approach to CBIR for medical databases that relies on human input, machine learning and computer vision. Specifically, we apply expert-level human interaction for solving that aspect of the problem which cannot yet be automated, we use computer vision for only those aspects of the problem to which it lends itself best - image characterization - and we employ machine learning algorithms to allow the system to be adopted to new clinical domains. We present empirical results for the domain of high resolution computed tomography (HRCT) of the lung. Our results illustrate the efficacy of a human-in-the-loop approach to image characterization and the ability of our approach to adapt the retrieval process to a particular clinical domain through the application of machine learning algorithms.
Many research projects are currently in progress on the application of machinevision to traffic surveillance systems. We present a vision based traffic surveillance system on the Internet. Our system consists of FPAs...
详细信息
Many research projects are currently in progress on the application of machinevision to traffic surveillance systems. We present a vision based traffic surveillance system on the Internet. Our system consists of FPAs (Field processing Agents) and TSM (Traffic Surveillance Manager). The FPAs and TSM both communicate with each other on the Internet. The FPA is a Web server which serves real time video data, vehicle velocity and vehicle density when the TSM requests them. An FPA consists of a communication module and an imageprocessing module. The imageprocessing module in the FPA performs traffic parameter estimation. Traffic parameters are estimated by just processing groups of image pixels without any understanding of the image. Although this has an accuracy limitation, it can be used in applications requiring an approximate vehicle density and vehicle velocity.
In this paper, the authors present a video processing circuit for a 3D machinevision system designed with an FPGA that processes images in real time and provides them through the EPP (enhanced parallel port) to a com...
详细信息
In this paper, the authors present a video processing circuit for a 3D machinevision system designed with an FPGA that processes images in real time and provides them through the EPP (enhanced parallel port) to a computer. The system is useful in 3D visionapplications so different as robot guidance in MIG and laser soldering or control of treated woods. The connection of the processing system to a PC through the EPP achieves an easy installation for industrial applications. The implementation of processing in programmable device (SRAM-cells based on an FPGA), allow easy modification of the design in order to adapt it rapidly to new applications or to make different versions of the same system.
Conventional vision systems with uniform resolution sensors contain a huge amount of information, a great part of it not necessary for the tasks they are intended. This fact makes processing difficult at speeds that m...
详细信息
Conventional vision systems with uniform resolution sensors contain a huge amount of information, a great part of it not necessary for the tasks they are intended. This fact makes processing difficult at speeds that may be desirable for many applications. Opposed to this option, foveal vision offers a wide visual field and high resolution in a small area of the image with a reduced data set, allowing us to do real-time imageprocessing in many applications. In this field have emerged a great deal of algorithms and hierarchical structures to support the processing of this type of image. In this paper we present a VLSI architecture that implements a level sequential segmentation algorithm in one of these hierarchical structures (a polygon) generated using a Cartesian symmetric lattice topology. This structure is designed to work at real time (20-30 frames/s).
暂无评论