The use of nuclear texture parameters in the automatic analysis of leukocytes

The use of texture parameters in the differentiation of white blood cells is presented. Four different methods of texture analysis were applied to a set of 160 cells from 3 different classes.     

基于WINCE的嵌入式图像处理系统

针对现在图像处理系统实时性和小型化的需求,设计出一种采用ARM9微处理器的嵌入式图像处理系统。该系统以S3C2440为处理器核心,Windows CE为操作系统,并在EVC中完成图像处理程序的编写工作。系统实现了图像增强、图像分析和几何变换等图像处理的基本功能,具有成本低,适应性好等特点,尤其适合对功耗、体积有较严格要求的图像处理应用系统。     

A multipurpose neural processor for machine vision systems

A multitask neural network is proposed as a plausible visual information processor for performing a variety of real-time operations associated with the early stages of vision. The computational role performed by the processor, named the positive-negative (PN) neural processor, emulates the spatiotemporal information processing capabilities of certain neural activity fields found along the human visual pathway. The state-space model of this visual information processor corresponds to a bilayered two-dimensional array of densely interconnected nonlinear processing elements (PE's). An individual PE represents the neural activity exhibited by a spatially localized subpopulation of excitatory or inhibitory nerve cells. Each PE may receive inputs from an external signal space as well as from itself and the neighboring PE's within the network. The information embedded in the external input data which originates from a video camera or another processor is extracted by the feedforward subnet. The feedback subnet of the PN neural processor generates a variety of transient and steady-state activities. Their various computational roles are applicable to gray level, edge, texture, or color information processing. Computer simulations involving gray level image processing are used to illustrate the versatility of the PN neural processor architecture for machine vision system design.     

Vision processor system for moving-object analysis

This paper proposes a vision processor for moving-object analysis in time-varying images. The process of motion analysis can be divided into three stages: moving-object candidate detection, object tracking, and final motion analysis. The processor Consists of three components corresponding to these three stages. The first isan overall image processing unitwith local parallel architecture. It locates candidate regions for moving objects. The second is a multimicroprocessor system consisting of 16 local modules. Each module tracks one candidate region. The third is the host workstation. In this paper, we describe both the architecture and the software of the vision processor.     

利用纹理的两种图像检索方法的比较

在高度信息化的今天,基于内容的图像检索已经成为多媒体处理中的关键技术.纹理是描述图像时常用的一个概念,本文比较了综合纹理和像素中心、综合颜色和纹理这两种利用纹理特征的检索方法.对两百多幅植物花卉的图像库的检索实验结果表明,两种方法各有优点,但综合颜色和纹理的方法更符合人的视觉要求.     

Texture pattern image generation by regular Markov chain

A method of graytone texture pattern generation using a regular Markov chain is presented. The procedure arranges the generated gray tones in a sequence along a scan line. The transition probability matrix of the Markov chain directly determines the spatial co-occurrence probabilities of gray tones in the generated image. The generated image can be rotated and arithmetically combined to produce images of additional texture patterns. The paper illustrates the variety of texture which can be produced by this method.     

Textural filters based on the texture spectrum

Conventional digital filtering techniques, based on classical Fourier analysis (that is, low-pass, high-pass and band-pass), are widely used in digital image processing. Unsatisfaction may be encountered when applying these filters to texture analysis of images, where one needs some specific spatial filters which are able to transform an image in the sense of texture rather than the spectral properties. Such textural filters can be designed in the texture spectrum domain and they are of interest for texture analysis. An example is given in this paper, and has been applied to four of Brodatz's natural images. The result shows a promising potential of the texture spectrum for designing textural filters.     

GIB－200高分辨率彩色图象显示控制板的研制

本文介绍一种以ＴＭＳ３４０１０图形系统处理器为主控芯片构成的高分辨率图形图象显示控制板的研制与设计。作者应用ＰＩＣ单片机及数字逻辑电路，设计了一种独特的视频时序产生与接口电路，使该板不但具有高速图形处理功能，而且还具备标准广播电视接口信号，可广泛用于图形图象处理、特技动画、字幕机等视频制作领域。     

安瓿瓶在线检测系统研究

安瓿瓶在线检测系统采用新一代ARM Cortex—M3处理器作为图像处理核心,CPLD和两片SRAM形成乒乓缓存结构,为高速图像采集提供数据缓冲,通过USB将数据上传到上位机,并给出了最终处理结果。经过试验检测,表明该系统性能稳定,易于维护,价格低廉,性价比较高,具有良好的应用前景。     

图像纹理区检测及分割算法研究

图像纹理区是指在进行边缘检测时边缘分布相对密集,并存在一些伪边缘的区域。研究表明,现有的很多图像处理算法的误差集中在纹理区。图像纹理区分割的目的就是将这一区域分割出来以便对其采用不同的处理方法。本文提出了一种基于模糊增强的图像纹理区检测及分割算法。本文算法根据图像纹理区特点,首先增强纹理区像素对比度,并利用Canny边缘检测算法提高纹理区检测效果,最终实现了图像纹理区的准确检测和分割。     

Parallel computers for region-level image processing

It is well known that parallel computers can be used very effectively for image processing at the pixel level, by assigning a processor to each pixel or block of pixels, and passing information as necessary between processors whose blocks are adjacent. This paper discusses the use of parallel computers for processing images at the region level, assigning a processor to each region and passing information between processors whose regions are related. The basic difference between the pixel and region levels is that the regions (e.g. obtained by segmenting the given image) and relationships differ from image to image, and even for a given image, they do not remain fixed during processing. Thus, one cannot use the standard type of cellular parallelism, in which the set of processors and interprocessor connections remain fixed, for processing at the region level. Reconfigurable cellular computers, in which the set of processors that each processor can communicate with can change during a computation, are more appropriate. A class of such computers is described, and general examples are given illustrating how such a computer could initially configure itself to represent a given decomposition of an image into regions, and dynamically reconfigure itself, in parallel, as regions merge or split.     

改进FCM和LFP相结合的白细胞图像分类

研究白细胞图像分类识别中有效的图像分割与特征提取方法,以提高白细胞图像的正确识别率.由于某些白细胞(粒细胞)中颗粒的存在,严重影响细胞核与细胞质区域的正确分割,通过将空间信息与核函数融入模糊C-均值聚类(FCM)算法,提出一种改进的FCM算法.应用该算法对白细胞图像进行分割,并采用数学形态学方法对分割后的图像进行处理,获得了很好的分割效果,解决了粒细胞的质核分割难题.对于细胞的纹理特征提取,通过对局部二值模式(LBP)中阈值参数的模糊化,建立了基于局部模糊模式(LFP)的纹理特征提取算法.运用本文方法进行图像分割和纹理提取,以支持向量机作为分类器,对CellAtlas的100幅白细胞图像进行了分类识别的实验,结果表明白细胞的正确识别率达到93％.     

一种基于TMS320VC33 DSP的通用图像处理系统设计

介绍了一种以美国TI公司推出的浮点DSP—TMS320VC33为处理器的通用图像处理系统，阐述了该系统的硬件设计思想及软件开发流程。该系统具备良好的算法通用性，是一种优良的图像处理平台。     

基于图象分割的机器人视觉系统的设计与实现

机器人视觉系统是自主机器人的重要组成部分，而如何精确高效的处理视觉信息是视觉系统的关键问题．本文介绍了一个包括离线颜色分析器和实时视觉信息处理器两大部分的机器人视觉系统。离线颜色分析器用于提取各种颜色的阈值，实时视觉信息处理器则利用阈值进行图象分割，从而使机器人准确认知当前环境。     

TMS320C80用于数字图像处理

数字图像处理是电子技术的一个主要方面。随着现代科技的发展,数字图像处理技术在社会生产与生活中起到越来越重要的作用。而数字图像处理技术进入人们日常生活,就离不开软、硬件的结合。在数字图像处理硬件化方面,Ｔｅｘａｓ Ｉｎｓｔｅｒｕｍｅｎｔｓ的产品ＤＳＰ器件起着主导作用。其中数字信号多处理器ＴＭＳ３２０Ｃ８０更是具有优秀的计算性能,能够完全支持数字图像处理硬件的硬件化。本文主要研究ＴＭＳ３２０Ｃ８０在数     

三维扫描仪中人头轮廓线提取方法及实现

为解决三维扫描仪的实时性,文章提出了以FPGA处理器与PC主机交互式共同完成提取轮廓线的快速算法。该算法由两个阶段组成:第一阶段由主机计算背景与目标的分割阈值。第二阶段由FPGA处理器实时检测轮廓线位置信息。该快速算法具有计算简单、实现速度快等优点,并且减少了传输与存储的数据量,减轻了后面主机计算工作量。同时,省掉了昂贵的图像采集压缩卡与高速硬盘,降低了成本。可重构FPGA处理器设计成流水线结构,对每个像素的平均处理时间控制在70ns以内。仿真与综合结果表明:从一帧720576标准PAL制视频图像中提取轮廓线信息可在40ms内实时完成。     

基于树状小波分解的纹理图象检索

针对图象检索应具有简单、快速、有效等要求,提出了一种采用树状小波分解特征的纹理图象检索方法,该方法可以在相应的能量准则下,自适应地对图象进行了带分解,同时可利用小波函数分解的多分辨率与多方向特性,来形成能够在一定程度上对图象进行精确描述的特征矢量;在此基础上,又采用基于图象特征值的主分量分析方法,有效降低了特征矢量的维数;另外,基于用户需求的分层检索,还满足了用户不同层次的需求。实验结果表明,该算法快速,有效,具有较强的应用价值。     

A scalable high-performance graphics processor: GVIP

The GVIP (geometric and TV image processor) graphics processor, which creates and synthesizes computer graphics and TV images and meets the requirements of multi-media systems, is described. The hardware modules that make up this graphics processor include: a 32-bit embedded RISC processor, a Phong and Gouraud shading processor, a texture mapping processor, a hidden surface removal processor, an HDTV video image processor, a BitBlt processor, an imageprocessing module, and an outline font fill generator. These hardware modules fabricated using 0.8 m CMOS standard cells have been placed in three integrated circuit chips. The total number of gates used for one set of chips is approximately 350000.     

灰度-梯度共生矩阵纹理分析方法

本文提出用灰度-梯度共生矩阵模型对图象的纹理进行分析和鉴别.由此模型计算出十 五个纹理参数.在482个五类白血球样本上用这些纹理参数分类的识别率为77.8%.     

A universal texture segmentation and representation scheme based on ant colony optimization for iris image processing

This paper proposes a novel scheme for texture segmentation and representation based on Ant Colony Optimization (ACO). Texture segmentation and texture characteristic expression are two important areas in image pattern recognition. Nevertheless, until now, how to find an effective way for accomplishing these tasks is still a major challenge in practical applications such as iris image processing. We propose a framework for ACO based image processing methods. Considering the specific characteristics of various tasks, such a framework possesses the flexibility of only defining different criteria for ant behavior correspondingly. By defining different kinds of direction probability and movement difficulty for artificial ants, an ACO based image segmentation algorithm and a texture representation method are then presented for automatic iris image processing. Experimental results demonstrated that the ACO based image processing methods are competitive and quite promising, with excellent effectiveness and practicability especially for images with complex local texture situations.