The distance transformation of a line pattern (DTLP) is proposed and its properties are studied in detail. DTLP is the transformation of a binary line pattern by which the value at each 1-pixel in an input pattern is ...
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The distance transformation of a line pattern (DTLP) is proposed and its properties are studied in detail. DTLP is the transformation of a binary line pattern by which the value at each 1-pixel in an input pattern is changed into the distance measured along a line pattern from that pixel to the furthest edge point (type I DTLP) or to the nearest edge point (type ii DTLP). Both types of DTLP are performed by iterative local parallel operations. DTLP is effectively used in the processing of line patterns, such as the elimination or extraction of branches having prespecified features, and the description of the structure of a line pattern. The transformation can also be applied to the texture analysis of line patterns. Several parallel operations for feature extraction related to line patterns based upon the DTLP are given. Experimental results are shown concerning the application of the DTLP to the processing of blood vessel images in chest radiograms and to the texture analysis of photomicrographs of metal pieces. Line pattern analysis based on the DTLP is distinguished from other line pattern processing methods, such as graphical network analysis techniques, in that a two-dimensional line pattern can be processed directly by parallel local operations; and properties based on length as well as topology are effectively used.
The principles and applications of microwave holography are reviewed to establish the need for a high resolution microwave camera. The realization of such a camera requires solving several problems stemming from: (a) ...
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Computed radiography (CR) is a recent development in diagnostic radiology which yields digital radiographs. Digital image enhancement of CR images in the form of smoothing the noise and enhancing the edges of anatomic...
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A pipeline approach to processing of digitized picture data using multiple mini computers and an array processor is presented. Picture size can be up to 512 by 512 pixels. Implementing of many heuristic algorithms suc...
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Charge Coupled Device (CCD) imaging and processing arrays have shown promise in applications requiring integrated focal plane data processing such as found in certain "smart" sensor and data rate compression...
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With the use of miniature scenes and models, it is possible to synthesize realistic images by combining a scene containing normal size objects with a scene containing miniature objects. The normal size scene is genera...
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With the use of miniature scenes and models, it is possible to synthesize realistic images by combining a scene containing normal size objects with a scene containing miniature objects. The normal size scene is generally termed the foreground and the miniature is termed the background. The resulting synthesized image is generated from the foreground and background scenes using an advanced matting technique. Prior to the development of the Magicam system, camera movement during the matte had little success with holding adequate perspective match in order to achieve realistic composite images.
In recent years the need for large flat screen fluoroscopic imagingsystems has been pointed up by the development and subsequent use of new technologies and new procedures in diagnostic radiology. Videodensitometry, ...
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In recent years the need for large flat screen fluoroscopic imagingsystems has been pointed up by the development and subsequent use of new technologies and new procedures in diagnostic radiology. Videodensitometry, if it is to be extended to clinical applications involving studies of the thorax, kidneys, etc., requires an input screen having an area greater than that of the usual x-ray image intensifier (Ref. 1). A similar requirement exists for optimal use to be made of fluoroscopic tomography (Refs. 2, 3, 4). Further, if these very promising developments are to be made truly quantitative rather than relative, the distortion of the resultant optical intensity due to screen curvature needs to be eliminated. The use of digitized systems with on-line processing and with their capabilities for making precision measurements at the levels of minimum detectability, makes this development even more desirable (Refs. 5, 6). Examples of this need can also be found in the qualitative or imaging aspects of diagnostic radiology.
The ii international workshop on "Data Analysis in Astronomy" was intended to provide an overview on the state of the art and the trend in data analy sis and imageprocessing in the context of their ap...
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ISBN:
(数字)9781461322498
ISBN:
(纸本)9780306424731;9781461293170
The ii international workshop on "Data Analysis in Astronomy" was intended to provide an overview on the state of the art and the trend in data analy sis and imageprocessing in the context of their applications in Astronomy. The need for the organization of a second workshop in this subject derived from the steady. growing and development in the field and from the increasing cross-interaction between methods, technology and applications in Astronomy. The book is organized in four main sections: - Data Analysis Methodologies - Data Handling and systems dedicated to Large Experiments - parallelprocessing - New Developments The topics which have been selected cover some of the main fields in data analysis in Astronomy. Methods that provide a major contribution to the physical interpretation of the data have been considered. Attention has been devoted to the description of the data analysis and handling organization in very large experiments. A review of the current major satellite and ground based experiments has been included. At the end of the book the following 'Panel Discussions' are included: - Data Analysis Trend in Optical and Radio Astronomy - Data Analysis Trend in x and Gamma Astronomy - Problems and Solutions in the Design of Very Large Experiments - Trend on parallelprocessingalgorithms These contributions in a sense summarize the 'live' reaction of the audience to the various topics.
State-of-the-art applications, such as convolutional neural networks, demand specialized hardware accelerators that address performance and efficiency constraints. An efficient memory hierarchy is mandatory for such h...
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State-of-the-art applications, such as convolutional neural networks, demand specialized hardware accelerators that address performance and efficiency constraints. An efficient memory hierarchy is mandatory for such hardware systems. While the memory architectures of general-purpose processors (e.g., CPU or GPUs) are based on cache systems, dedicated accelerators have mostly adopted the DMA (Direct Memory Access) concept due to the application field of imageprocessing. DMA features like 2D data transfers or data padding can optimize the memory accesses of imageprocessing. However, DMA lacks the capability to exploit temporal and spatial data reuse, a feature common in cache systems, particularly when multiple DMAs operate in parallel. This paper proposes a novel Direct Cached Memory Access (DCMA) architecture, combining both DMA and cache methodologies and their respective advantages. Optimized for image-based AI algorithms, the DCMA architecture facilitates enhanced memory access by integrating multiple, parallel DMA ports with caching capabilities. This design allows for efficient data reuse and parallel memory access. Optimal parameters for the DCMA are determined through a comprehensive design space exploration. The DCMA is evaluated on a state-of-the-art xilinx UltraScale+ FPGA board coupled with a massive-parallel vertical vector co-processor, called V2PRO. The results show the mitigation of the vector processor’s memory bottleneck. By using the proposed DCMA, speedups of up to x17 for the ResNet-50 CNN can be achieved.
The two volume set LNCS 7431 and 7432 constitutes the refereed proceedings of the 8th International Symposium on Visual Computing, ISVC 2012, held in Rethymnon, Crete, Greece, in July 2012. The 68 revised full papers ...
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ISBN:
(数字)9783642331794
ISBN:
(纸本)9783642331787
The two volume set LNCS 7431 and 7432 constitutes the refereed proceedings of the 8th International Symposium on Visual Computing, ISVC 2012, held in Rethymnon, Crete, Greece, in July 2012. The 68 revised full papers and 35 poster papers presented together with 45 special track papers were carefully reviewed and selected from more than 200 submissions. The papers are organized in topical sections: Part I (LNCS 7431) comprises computational bioimaging; computer graphics; calibration and 3D vision; object recognition; illumination, modeling, and segmentation; visualization; 3D mapping, modeling and surface reconstruction; motion and tracking; optimization for vision, graphics, and medical imaging, HCI and recognition. Part ii (LNCS 7432) comprises topics such as unconstrained biometrics: advances and trends; intelligent environments: algorithms and applications; applications; virtual reality; face processing and recognition.
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