The proceedings contain 153 papers. The topics discussed include: software development: a failure and a success;an analysis of the performance of a software development methodology;effective computer program developme...
The proceedings contain 153 papers. The topics discussed include: software development: a failure and a success;an analysis of the performance of a software development methodology;effective computer program development and use;a methodology for the development of reliable synchronization software;a relational DBMS conforming to an architecture which incorporates a physical navigation language;task driven image understanding: lisp programming for vision research;some new algorithms and software implementation methods for pattern research recognition;statistical imageprocessing and recognition;reflection on the implementation of a software design;functional multiprocessing in an experimental digital switching office;and a microprocessor line concentration system.
Face recognition was one of many popular fields in imageprocessing and computervision. Face recognition had many problems like the pose variation, Illumination, image Quality, etc. Many methods were developed to fin...
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Binary morphology on large images is compute intensive, in particular for large structuring elements. Run-length encoding is a compact and space-saving technique for representing images. This paper describes how to im...
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ISBN:
(纸本)9789898111210
Binary morphology on large images is compute intensive, in particular for large structuring elements. Run-length encoding is a compact and space-saving technique for representing images. This paper describes how to implement binary morphology directly on run-length encoded binary images for rectangular structuring elements. In addition, it describes efficient algorithm for transposing and rotating run-length encoded images. The paper evaluates and compares run length morphologial processing on page images from the UW3 database with an efficient and mature bit blit-based implementation and shows that the run length approach is several times faster than bit blit-based implementations for large images and masks. The experiments also show that complexity decreases for larger mask sizes. The paper also demonstrates running times on a simple morphology-based layout analysis algorithm on the UW3 database and shows that replacing bit blit morphology with run length based morphology speeds up performance approximately two-fold.
This paper presents the implementation and evaluation of a computervision task on a Field Programmable Gate Array (FPGA). As an experimental approach for an application-specific image-processing problem, it provides ...
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In many applications it is necessary to segment the foreground of an image from the background. However images from microscope slides illuminated using transmitted light have uneven background light levels. The non-un...
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ISBN:
(纸本)9789898111210
In many applications it is necessary to segment the foreground of an image from the background. However images from microscope slides illuminated using transmitted light have uneven background light levels. The non-uniform illumination makes segmentation difficult. We propose to fit a set of parabolas in order to segment the image into background and foreground. Parabolas are fitted separately on horizontal and vertical stripes of the grey level intensity image. A pixel is labelled as background or foreground based on the two corresponding parabolas. The proposed method outperforms the following four standard segmentation techniques, (1) thresholding determined manually or by fitting a mixture of Gaussians, (2) clustering in the RGB space, (3) fitting a two-argument quadratic function on the whole image and (4) using the morphological closure method.
Intrinsic image decomposition (IID) aims to extract intrinsic components from natural images, namely shading and reflectance, which is widely applied in computervision and imageprocessing tasks for the better unders...
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ISBN:
(纸本)9798350386660;9798350386677
Intrinsic image decomposition (IID) aims to extract intrinsic components from natural images, namely shading and reflectance, which is widely applied in computervision and imageprocessing tasks for the better understanding of the objects and scenes. However, IID is a severely ill-posed problem, extra constraints should be applied to address the decomposition problem. In this paper, we reviewed recent papers about intrinsic image decomposition. The extra cues from lighting, shape, color and textures are used to constrain the ill-posed problem. These papers can be mainly classified into two categories: physics-based methods and learning-based methods. Physics-based methods mainly introduced extra constraints into an optimization framework to solve the IID problem. While learning-based methods mainly depend on an encoder-decoder network with the explicit constraint from the labeled intrinsic images. Additionally, extra priors are introduced into the network by the form of network structure or specific feature. In order to make the IID problem more practical, researchers may explore how to achieve fast and accurate image decomposition with lower computing resources through optimization algorithms and model design.
computervision as an important branch of computer science and artificial intelligence has made rapid progress in the past thirty years. Binocular stereo vision is one of the most important parts in computervision. B...
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Microstructural parameters are important for analyzing the chemistry and performance of solid oxide fuel cells (SOFCs). Aiming at the YSZ / Ni anode optical microscopy (OM) image of SOFC, in this paper, particle swarm...
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Microstructural parameters are important for analyzing the chemistry and performance of solid oxide fuel cells (SOFCs). Aiming at the YSZ / Ni anode optical microscopy (OM) image of SOFC, in this paper, particle swarm intelligent optimization algorithm is used to improve the fuzzy C-means clustering algorithm for image segmentation. Particle swarm optimization is used to adaptively search the initial clustering center, helping to avoid local optimization and preserve more image detail. The experimental results show that the proposed method can improve the segmentation accuracy of images. At the same time, it can accurately segment the SOFC three-phase and provide effective image segmentation results for the microstructure parameters.
In order to better display and protect ancient Chinese architecture, a three-dimensional model reconstruction method based on multi-station laser scanning is proposed. This method mainly includes several steps, such a...
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In order to better display and protect ancient Chinese architecture, a three-dimensional model reconstruction method based on multi-station laser scanning is proposed. This method mainly includes several steps, such as point cloud data collection, preconditioning, multi-site cloud data fusion, point cloud data compression, 3D model reconstruction and texture mapping, environment rendering, video processing, and 3D roaming. According to the requirement of video rendering and virtual roaming, we focus on cloud processing, 3D modeling and 3D model display in this paper. Experimental results show that an famous building named Enshi Dong Drum Tower is well digitally reconstructed, so as to result in ethnic characteristics and cultural heritage protection in practical application.
Additive manufacturing technology is an important manufacturing technology, and 3D printing is one of the most important additive manufacturing technologies. Compared with the traditional manufacturing mode, the 3D pr...
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