A novel real-time depth-mapping principle and camera where pulsed laser light is combined with a gain-modulated camera and a phase-locked loop control of laser intensity is described in this paper. The depth resolutio...
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ISBN:
(纸本)9781424474325;9781424474332
A novel real-time depth-mapping principle and camera where pulsed laser light is combined with a gain-modulated camera and a phase-locked loop control of laser intensity is described in this paper. The depth resolution is variable depending on the resolution of the camera and of the gating possibilities of the sensor. A sensor of 1 Mpixel is used providing a resolution of 1024 × 1024 which can be gated with very high speeds up to a few ns. Front images of real objects are reconstructed in 3D views based on the data provided by the laser imaging technique and on a new imageprocessing algorithm, in real-time. The new method based on pulsed laser diodes is applicable to various types of image sensors as required by the application domain. As such the camera can be used for gaming, for controlling through gestures various computer applications spanning from digital signage to for example unmanned vehicles. Results are provided for a low end camera used in gaming. A new human computer interface based on gesture control is described. A series of experiments in which the camera is used to capture human gestures which are interpreted and recognized by various imageprocessing algorithms are given.
The acquisition and measurement of two- and three-dimensional contours of objects are important tasks in modern production processes and quality control. Specially, nontactile methods like optical triangulation and th...
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The acquisition and measurement of two- and three-dimensional contours of objects are important tasks in modern production processes and quality control. Specially, nontactile methods like optical triangulation and the digitalimageprocessing are becoming more and more important. Color imageprocessing in combination with color coded illumination could be used to realize new methods of nontactile 3D-object ranging. Two of these methods are the color-coded triangulation and the color-coded phase-shift method. We use a combination of these two methods to realize a fast 3D-object ranging with unambiguous results. The color-coded phase-shift method is able to reach a good spatial resolution, but the measured range values are ambiguous. Using color-coded triangulation an unambiguous three-dimensional image could be achieved, but compared to the color-coded phase-shift method, the spatial resolution is poor. Since both methods are able to generate a 3D-object description by processing only a single RGB-image, it is possible to combine these two methods.
In this study, it is aimed to obtain the real time image of the object, whose off-axis hologram recording is saved on CCD camera, from digital phase hologram. For creating the phase hologram, the phase information of ...
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In this study, it is aimed to obtain the real time image of the object, whose off-axis hologram recording is saved on CCD camera, from digital phase hologram. For creating the phase hologram, the phase information of the hologram recording on CCD camera is obtained. When the phase information is obtained, the Fourier transform algorithm and continuous wavelet transform methods are used. Finally, the using methods in this study are compared in terms of obtaining real time image having a high image quality and minimum power loss.
This paper presents novel algorithms that perform motion estimation for video processing and compression. We observe that "smoothness" is a very important and intuitive property in the estimation of motion f...
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This paper presents novel algorithms that perform motion estimation for video processing and compression. We observe that "smoothness" is a very important and intuitive property in the estimation of motion fields. It is pointed out that most current motion estimation techniques implement smoothness as a constraint, differing only in terms of the specific type of smoothness demanded from video data. This paper views smoothness as a property that is determined by the underlying video data rather than a predetermined and specific property that is imposed on video data. Instead of forcing the available video data to conform to an abstract smoothness model, we try to select the "smoothest" motion field that conforms to the available data. We propose fast and efficient techniques that determine a set of possible motion fields and that select the smoothest field from this set. Issues like quantization and embedded video compression (via embedded motion fields) are discussed.
作者:
A. MachiF. ColluraCNR
Istituto di Calcolo e Reti ad Alte Prestazioni Palermo Italy
Spikes of brightness often locally affect single frames of aged motion pictures, because of dust, dirt and scratches injuring the film surface. We present a method for accurate digital detection and restoration of suc...
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Spikes of brightness often locally affect single frames of aged motion pictures, because of dust, dirt and scratches injuring the film surface. We present a method for accurate digital detection and restoration of such kinds of film defects. The method evaluates both global and local intraframe disparity statistics after motion-compensation and uses them to detect abnormal spikes. It recovers image structure from the same frame by linear interpolation of defect surroundings and refines details from the temporal neighbourhood. Weights of the blending filter are set according to local reliability of the motion estimation maps. A texture pattern is also extracted from spatial support areas, and added to regions with limited recovery from the temporal neighbourhood. Experiments performed on synthetic sequences show very high recall and precision rates, and low recovery errors. High quality restoration of severely damaged sequences is shown.
Method of computer digitalimageprocessing was utilized to measure non-circularity of single mode *** two end faces were polished,the faces come into plane,and which are perpendicular to fiber *** beam was thrown on ...
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Method of computer digitalimageprocessing was utilized to measure non-circularity of single mode *** two end faces were polished,the faces come into plane,and which are perpendicular to fiber *** beam was thrown on one end of the fiber,and an inerratic spot was formed from light beam put out at another end of the *** spot was shot by a digital camera with 5.1×10~6 *** image was processed with a *** process includes full color picture being translated into gray one,contrast enhancement,median filtering,and picking-up contour *** every different three points on the contour line were taken out to determine one circular radius,average of many radiuses was calculated,The maximum radius and the minimum radius are picked out to calculate the fiber no-circularity in according to *** C++ and Matlab were used to *** results of experiment show that measurement precision is independent of the sampling number,but dependence of gray value,and average standard deviation is about 0.03%.
Since the beginning of the 90's, the problem of the environment became crucial, particularly in term of soil fertiliser use. In Europe, approximately 85% of fertiliser are distributed using centrifugal spreader, d...
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ISBN:
(纸本)9789086861132
Since the beginning of the 90's, the problem of the environment became crucial, particularly in term of soil fertiliser use. In Europe, approximately 85% of fertiliser are distributed using centrifugal spreader, due to their relative low cost, simplicity and robustness. Numerous research have been done on the understanding of the spreading process from the vane to the soil, using optical or imaging systems. In order to predict the fertiliser deposition on the soil using a ballistic flight model, several parameters need to be determined, notably the velocity of the granules (about 35 m/s) when they leave the spinning disc. This paper presents improvements of previous high speed imaging systems developed at Enesad and ILVO Institute. New stroboscopic approach is first proposed using power-Leds located 1m height around the digital camera, which avoid the problem of illumination changing due to flashes which could not have exactly the same characteristics. This apparatus is piloted with a FPGA card specifically dedicated to our application. Multiexposure images acquired are then treated with Gabor filters method, alternative to previous method based on Markov Random Fields (MRFs). Results obtained on simple and synthetic images are very good but the first tests on real images of ejected granules give no significant information due to the particular motion of the fertiliser, bound to centrifugal force and small displacement. The use of specific intercorrelation method allows us to obtain quite similar results to the use of MRFs technique, with the need of a motion initialisation. We are currently comparing the two previous methods in different ejection cases. We have however proved that the special motion of the fertiliser granules could not be determined with classical motion estimation methods.
The basic aim of this paper is recognition of a character from a thresholded picture file, and converting it to text for further applications. The program first accepts a picture of raster type as input and removes th...
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The basic aim of this paper is recognition of a character from a thresholded picture file, and converting it to text for further applications. The program first accepts a picture of raster type as input and removes the background noise from the picture. An iterative method of thresholding is presented which performs this operation. The picture is then passed through a number of pre-processing steps before recognition of characters. Character recognition using perceptual distance functions was first tried out. Because of the computational complexity involved in this method, a new method of character recognition using 2-dimensional discrete correlation is proposed in this paper. A comparison between the two methods is presented
Taking the highway images captured by UAV aerial photography as the research object, a highway greening information extraction algorithm based on digitalimageprocessing morphology and visible light color index is pr...
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Taking the highway images captured by UAV aerial photography as the research object, a highway greening information extraction algorithm based on digitalimageprocessing morphology and visible light color index is proposed. Firstly, the experimental image is enhanced by HSV image. An improved vegetation color index - red-green-blue difference index (RGBDI) is established by comprehensively using the three optical bands of visible light red, green and blue. Then, the maximum entropy threshold segmentation method is used to binarize the image. The recognition results are modified by using the digitalimageprocessing morphology to reconstruct the open operation and the closed operation, and the final experimental results are obtained. The results are compared with the common 6 color indexes: green leaf index (GLI), normalized green-red difference index (NGRDI), normalized green-blue difference index (NGBDI), relative greenness index (GCC), over-green index (ExG) and over-green minus red index (ExG - ExR) extraction effects. The results show that the green belt extraction algorithm combining morphology and ultra-green leaf index (EGLI) can extract the green space information of the study area well. The kappa coefficient reaches 88.0%, which is the best effect.
A digital signal processor (DSP) based position calculation circuit was developed and tested for beta camera. The previous position calculation circuit employed flash analog to digital (A-D) converters for A-D convers...
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A digital signal processor (DSP) based position calculation circuit was developed and tested for beta camera. The previous position calculation circuit employed flash analog to digital (A-D) converters for A-D conversion and ratio calculation occurred significant line artifacts in the image due to the differential non-linearity of the A-D converters. The new position calculation circuit uses four A-D converters for only A-D conversion of the analog signals from the position sensitive photomultiplier tube (PSPMT). The DSP reads the A-D signals and calculates the ratio of Xa/(Xa+Xb) and Ya/(Ya+Yb) in event by event basis. The DSP also magnifies the image to fit the useful field of view (FOV) and rejects the events out of the FOV. The line artifacts in the image was almost eliminated.
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