应用菌紫质膜模拟动物“边”感受野并检测图像边界轮廓

菌紫质膜是一种颇有前途的分子电子器件材料。Tsutornu^[1]以菌紫质膜为材料,完成了具有动物视觉功能特点的含256像素的图像传感器。此外,菌紫质膜还被用来模拟视觉感受野的运算功能^[2-4]简单细胞“边”感受野由两个互为颉顽的ON响应区和OFF响应区组成。它对图像中的对比度信息具有敏感性。菌紫质膜因其优良的分辨率(5000线/min),灵敏度(1-805/cm²)以及光电特性而足以被用来制作人工“边”感受野,并模拟简单细胞“边”感受野的这一特性。以此为基础,本文构建了一个图像轮席检测的原理系统,成功地检测了简单图像轮廊。     

用菌紫质薄膜传感器进行图像边缘检测的研究

应用菌紫质人工沉淀膜所具有的与动物视网膜类似的微分光电响应特性,以该人工膜为传感器构建了一个可检测图像边缘的原理系统,并成功地检测到了简单图像的边缘。本文的结果除进一步说明了菌紫质分子在图像技术中的应用前途外,还说明了这种分子在视觉功能模拟和人工视觉等方面的良好应用前景 。     

同心圆感受野去抑制特性的数学模拟

以感受野外周区内各亚区之间的抑制性相互作用为基础,提出了一个能描述视网膜神经节细胞传输特性的数学模型,此模型能很好地解释传统感受野外大范围去抑制区产生的机制。当用来处理亮度对比边缘时,它既能很好地增强边缘对比,又可有效地提升被传统感受野中心／外周拮抗机制所滤除了的区域亮度对比和亮度梯度信息。本文也用不同空间频率的光栅和真实图像检验了模型的空间频率传递特性,并与其它模型进行了比较。     

基于光敏蛋白的猫视皮层细胞双眼汇聚功能的模拟

已知光敏蛋白菌紫质ＬＢ膜具有类似于视觉系统感受野的对光微分响应。利用这个特性,本文组装了一对人工视皮层条型简单细胞感受野,并测定了其朝向选择特性及ＯＮ－区闪光融合频率响应特性。在此基础上,用这一对人工感受野组成了猫视皮层细胞双眼汇聚功能模拟系统,并模拟了猫视皮层细胞双眼汇聚功能。     

时空分离Gabor函数模型和感受野的时间特性

本文在我们以前提出的感受野的广义Cabor函数模型基础上,提出了时空可分离感受野数学模型,以此模拟了感受野的各种时间反应性质,并据此推断了两种方向检测感受野模型,模拟了on-off感受野速率谐调曲线.说明Gabor函数也同样很好地反映了感受野的时间性质.     

基于光敏蛋白的猫视皮层细胞双眼汇聚功能的模拟

已知光敏蛋白菌紫质ＬＢ膜具有类似于视觉系统感受野的对光微分响应。利用这个特性,本文组装了一对人工视皮层条型简单细胞感受野,并测定了其朝向选择特性及ＯＮ－区闪光融合频率响应特性。在此基础上,用这一对人工感受野组成了猫视皮层细胞双眼汇聚功能模拟系统,并模拟了猫视皮层细胞双眼汇聚功能。     

用菌紫质薄膜传感器进行图像边缘检测的研究

应用菌紫质人工沉淀膜所具有的与动物视网膜类似的微分光电响应特性,以该人工膜为传感器构建了一个可检测图像边缘的原理系统,并成功地检测了到简单图的边缘。     

用菌紫质Langmuir—Blodgett膜模拟视网膜神经节细胞感受野的DOG滤波等特性

用菌紫质膜以一维形式模拟了视网膜神经节细胞的ＯＮ－中心型感受野。实验表明菌紫质ＬＢ膜具有ＯＮ型和ＯＦＦ型微分响应特性,对运动狭缝,所模拟的人工视网膜感受野的周边区和中心区都具有类高斯函数形式的滤波特性,整个人工视网膜感受野具有与高等动物视网膜相似的ＤＯＧ滤波运算功能。     

用数量场描述方向敏感感受野

1965年Barlow ＆ Levick及我国科技工作者分别独立提出了原理大致相同的方向检测感受野模型,但其数学模型却一直未见有报道.本文用数量场方法给出了其数学模型,这是一个Gabor函数模型,并据此解释了方向检测感受野的方向调谐曲线以及方向检测通道数量问题.     

用菌紫质Langmuir—Blodgett膜模拟视网膜神经节细胞感受野的DOG滤波等特性

用菌紫质ＬＢ（Ｌａｎｇｍｕｉｒ—Ｂｌｏｄｇｅｔｔ）膜以一维形式模拟了视网膜神经节细胞的ＯＮ－中心型感受野。实验表明菌紫质ＬＢ膜具有ＯＮ型和ＯＦＦ型微分响应特性。对运动狭缝,所模拟的人工视网膜感受野的周边区和中心区都具有类高斯函数形式的滤波特性,整个人工视网膜感受野具有与高等动物视网膜相似的ＤＯＧ（ＤｉｆｆｅｒｅｎｃｅｏｆＧａｕｓｓｉａｎｓ）滤波运算功能。     

A Novel Vision Localization Method of Automated Micro-Polishing Robot

Based on photogrammetry technology,a novel localization method of micro-polishing robot,which is restricted withincertain working space,is presented in this paper.On the basis of pinhole camera model,a new mathematical model of visionlocalization of automated polishing robot is established.The vision localization is based on the distance-constraints of featurepoints.The method to solve the mathematical model is discussed.According to the characteristics of gray image,an adaptivemethod of automatic threshold selection based on connected components is presented.The center coordinate of the featureimage point is resolved by bilinear interpolation gray square weighted algorithm.Finally,the mathematical model of testingsystem is verified by global localization test.The experimental results show that the vision localization system in working spacehas high precision.     

Image understanding system for histopathology

An image understanding machine vision system for histological diagnoses is based on three interacting expert systems: a diagnostic expert system utilizing terms familiar to pathologists, an interpretive expert system relating human diagnostic concepts to computable histometric features and a scene segmentation expert system which extracts the diagnostic information from the imagery. The control software for the image understanding system resides on a multiprocessor computer. This article details measures to maintain system efficiency and to accommodate the requirements of interprocess communication and processing task scheduling.     

Fast and Robust Stereo Vision Algorithm for Obstacle Detection

Binocular computer vision is based on bionics, after the calibration through the camera head by double-exposure image synchronization, access to the calculation of two-dimensional image pixels of the three-dimensional depth information. In this paper, a fast and robust stereo vision algorithm is described to perform in-vehicle obstacles detection and characterization. The stereo algorithm which provides a suitable representation of the geometric content of the road scene is described, and an in-vehicle embedded system is presented. We present the way in which the algorithm is used, and then report experiments on real situations which show that our solution is accurate, reliable and efficient. In particular, both processes are fast, generic, robust to noise and bad conditions, and work even with partial occlusion.     

Comparison of an automated pattern analysis machine vision time-lapse system with traditional endpoint measurements in the analysis of cell growth and cytotoxicity

Machine vision is an application of computer vision. It both collects visual information and interprets the images. Although the machine obviously does not 'see' in the same sense that humans do, it is possible to acquire visual information and to create programmes to identify relevant image features in an effective and consistent manner. Machine vision is widely applied in industrial automation, but here we describe how we have used it to monitor and interpret data from cell cultures. The machine vision system used (Cell-IQ) consisted of an inbuilt atmosphere-controlled incubator, where cell culture plates were placed during the test. Artificial intelligence (AI) software, which uses machine vision technology, took care of the follow-up analysis of cellular morphological changes. Basic endpoint and staining methods to evaluate the condition of the cells, were conducted in parallel to the machine vision analysis. The results showed that the automated system for pattern analysis of morphological changes yielded comparable results to those obtained by conventional methods. The inbuilt software analysis offers a promising way of evaluating cell growth and various cell phases. The continuous follow-up and label-free analysis, as well as the possibility of measuring multiple parameters simultaneously from the same cell population, were major advantages of this system, as compared to conventional endpoint measurement methodology.     

用于柑桔成熟度无损检测的色度频度序列法研究

农产品内部品质无损检测技术是确定水果最合适的采收期和对成熟度不一致的农产品进行准确分级的关键．为了建立利用计算机视觉技术进行柑桔成熟度的无损检测的方法,本研究建立了用于柑桔成熟度检测的计算机视觉系统,研究了柑桔图像颜色的描述方法,通过分析比较,认为在利用水果可见光彩色图像检测水果成熟度时,宜采用HSI颜色模型空间;提出了用与各个色度对应的像素在图像中出现的频度构成的频度序列描述图像的颜色信息的新方法,并利用人工神经网络方法建立了根据柑桔图像的色度频度序列判断柑桔成熟度的映射器,这一映射器检验252只成熟度不同的尾张系柑桔的结果为,对成熟果实和未熟果实的判断正确率分别为 79 1％和63．6％,总的判断正确率为77．8％,这表明尾张系柑桔果实的表皮颜色与成熟度之间具有相关性,可以通过利用计算机视觉技术测定柑桔的表皮颜色信息来判断柑桔的成熟度．     

视觉假体的研究进展与面临的挑战

人工视觉假体是当今国际上对视网膜色素变性和老年性黄斑病变患者进行视觉修复的研究热点,该人工装置采集外界图像信息,并进行编码处理,通过微电流刺激器将刺激微电流信号加载到微电极阵列,对视觉神经系统进行作用,从而在视觉中枢产生光幻视,实现视觉功能修复。根据目前的国际研究现状,视觉假体可以对视觉通路的任意位置进行电刺激,以期产生视光感。按照植入位置的不同,视觉假体基本上可以分为视皮层假体、视网膜上假体、视网膜下假体和视神经假体。本文着重介绍了中国的C-Sight小组在视神经假体方面的工作进展和面临的挑战。