Implementation of Digital Electronic Arithmetics and its application in image processing

In this paper we introduce new algorithm implementations of a new parametric image processing framework that will accurately process images and speed up computation for addition, subtraction, and multiplication. Its potential applications include computer graphics, digital signal processing and other multimedia applications. This Parameterized Digital Electronic Arithmetic (PDEA) model replaces linear operations with non-linear ones. The implementation of a parameterized model is presented. We also present the design of arithmetic circuits including parallel counters, adders and multipliers based in two high performance threshold logic gate implementations that we have developed. We will also explore new microprocessor architectures to take advantage of arithmetic. The experiments executed have shown that the algorithm provides faster and better enhancements from those described in the literature. The FPGA chips used is Spartan 3E from Xilinix. The critical length in the circuit implemented on the FPGA had the minimum period for the proposed subsystem is 10.209 ns (maximum frequency 97.957 MHz). Maximum power consumed is 2.4 mW using 32 nm process and we used parallelism and reuse of the Hardware components to accomplish and speed up the process.     

Parallel and serial grouping of image elements in visual perception.

The visual system groups image elements that belong to an object and segregates them from other objects and the background. Important cues for this grouping process are the Gestalt criteria, and most theories propose that these are applied in parallel across the visual scene. Here, we find that Gestalt grouping can indeed occur in parallel in some situations, but we demonstrate that there are also situations where Gestalt grouping becomes serial. We observe substantial time delays when image elements have to be grouped indirectly through a chain of local groupings. We call this chaining process incremental grouping and demonstrate that it can occur for only a single object at a time. We suggest that incremental grouping requires the gradual spread of object-based attention so that eventually all the object's parts become grouped explicitly by an attentional labeling process. Our findings inspire a new incremental grouping theory that relates the parallel, local grouping process to feedforward processing and the serial, incremental grouping process to recurrent processing in the visual cortex. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

卖场空间中导向系统设计与品牌形象管理

从卖场空间中的导向系统设计及其原则两方面出发,对其进行全面系统地分析;对卖场空间中的品牌形象策略及品牌传播进行了探讨;进而以南京宜家卖场为实例对其导向系统有关的空间分布及设计特色等进行了阐述;文章最后得出导向系统设计也是品牌形象管理策略中重要的环节之一。     

ASA树脂制件的分层原因

通过宏观分析、红外光谱分析、热分析和高压毛细管流变分析对ASA树脂制件分层原因进行了分析。结果表明:发生分层的ASA树脂制件混入了PP树脂,两者流动性和结晶性的差异导致了制件的分层。     

Identification of copy–paste regions in digital image

In recent technocrat world, an alteration of a digital image is more ubiquitous amongst techno‐savvy professionals, which has also been proved recurrent even for laymen. This has been popularized on account of a lucid access of different types of image‐editing software. Copying a particular region from a digital image to selective location within the same image is one of the good citations of image doctoring. Usually, the bitmap pictures are represented in the form of three‐channel color image, in which the algorithm identifies the similar areas with an assumption of image acquisition in 24 bits Bitmap format. In the present article, an exclusive procedure was applied to produce an output image, pinpointing the copy–paste area with more than 90% accuracy. The resultant image was depicting a forgery operation presumed to be performed, which determined two areas of similarity. A novel approach of 1‐connected graph was applied, as the forgery is not believed to be done in the form of a petite point‐like area. Finally, the forgery area was exposed with an aid of discerning color value, commonly as a black color for an apparent visibility of an image. The present application will be a tool in image forensics that can be applicable to identify the copy–paste regions in a single bitmap image. This article refers to a new approach for detecting the image portions which are copied from another image. Besides, the present investigation discusses an algorithm effectively implemented to determine the areas formed by copy–paste operation in an image. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 367–369, 2010     

Linking the von Kries model to Wien’s law for the estimation of an illuminant invariant image

Modeling the color variation due to an illuminant change is an important task for many computer vision applications, like color constancy, object recognition, shadow removal and image restoration. The von Kries diagonal model and Wien’s law are widely assumed by many algorithms for solving these problems. In this work we combine these two hypotheses and we show that under Wien’s law, the parameters of the von Kries model are related to each other through the color temperatures of the illuminants and the spectral sensitivities of the acquisition device. Based on this result, we provide a method for estimating some camera cues that are used to compute the illuminant invariant intrinsic image proposed by Finlayson and others. This is obtained by projecting the log-chromaticities of an input color image onto a vector depending only on the spectral cues of the acquisition device.     

Analytical calculation of stress intensity factor of cracked steel I-beams with experimental analysis and 3D digital image correlation measurements

An analytical method to calculate the stress intensity factor for cracked steel I-beams under both bending moment and axial load is presented. The method is based on the approach of crack surface widening energy release rate. The crack surface widening energy release rate is formulated by a G^∗-integral and elementary strength theory of materials. Comparisons between the analytical results and results available in the literature for specific cases demonstrate the validity of the methodology. Furthermore, the fatigue and fracture behavior of the steel I-beam are experimentally investigated. The fatigue crack growth rate, residual deflection and stiffness reduction of a cracked beam under cyclic loading are studied. A three-dimensional digital image correlation system is used to illustrate the stress evolution pattern and the plasticity zone around the crack tip using image processing technique, thereby providing further verification of the theoretical models.     

From engineering diagrams to engineering models: Visual recognition and applications

We present a computational recognition approach to convert network-like, image-based engineering diagrams into engineering models with which computations of interests, such as CAD modeling, simulation, information retrieval and semantic-aware editing, are enabled. The proposed approach is designed to work on diagrams produced using computer-aided drawing tools or hand sketches, and does not rely on temporal information for recognition. Our approach leverages a Convolutional Neural Network (CNN) as a trainable engineering symbol recognizer. The CNN is capable of learning the visual features of the defined symbol categories from a few user-supplied prototypical diagrams and a set of synthetically generated training samples. When deployed, the trained CNN is applied either to the entire input diagram using a multi-scale sliding window or, where applicable, to each isolated pixel cluster obtained through Connected Component Analysis (CCA). Then the connectivity between the detected symbols are analyzed to obtain an attributed graph representing the engineering model conveyed by the diagram. We evaluate the performance of the approach with benchmark datasets and demonstrate its utility in different application scenarios, including the construction and simulation of control system or mechanical vibratory system models from hand-sketched or camera-captured images, content-based image retrieval for resonant circuits and sematic-aware image editing for floor plans.     

航拍图像效果增强软件研究

图像效果增强软件在航拍图像的后期处理中具有重要的作用,为了实现航拍图像效果增强软件,首先对软件进行了总体设计;其次对软件中涉及的主要图像处理算法原理进行了分析（自适应中值滤波算法、边缘检测算法以及SPIHT编解码算法）;最后,采用VC＋＋6.0和Matlab实现了该软件,同时对软件中主要算法的航拍图像处理效果进行了实验...     

有线电视网络的经营发展方向

在信息社会,人们迫切希望计算机能以人类习惯的方式提供信息服务,多媒体技术应运而生。三网融合己经开始,广电借助三网融合之机遇,有了涉足电信互联网业务的条件,如何推动广电业务加速向电信领域渗透,正成为广电产业经营思考的问题。