融合特征和先验知识的车牌字符图像检测算法

提出一种融合车牌字符切割后的二值字符图像的结构特征及对应的彩色小字符图像的颜色信息对车牌分割后的小字符图像进行真伪字符图像区分,以此达到检测字符图像目的的算法。为满足实时车牌对时间响应的要求,对车牌字符切割得到的灰度图像作快速二值化,在二值化的图像上提取结构信息,结合车牌字符分布的特点去除了大部分非颜色车牌的伪字符图像。对于难以从结构上进行字符检测的颜色车牌伪字符图像,在结构特征分析的基础上再次通过从彩色图像提取的颜色信息进行相似性分析,排除伪字符图像。对候选字符图像融合大间隔这个先验知识得到输出的字符图像。实验结果表明算法有良好的字符检测效果,可以用于实时车牌识别系统中作为字符切割后期处理一部分。     

基于可视色差与区域生长的彩色图像分割

提出了一种基于可视色差和分块区域生长的彩色图像分割算法,首先将待处理图像划分成若干大小相同的子块,在CIEL*a*b*颜色空间中计算每个子块的色彩均值和方差值,根据方差值对子块分类,利用可视色差对颜色均匀子块分类、合并,获得初始分割区域,利用四叉树算法对纹理子块分裂合并,然后从初始分割区域开始生长、合并,并删除小颜色块。实验结果证明了算法的有效性,分割结果符合人的主观感知。     

基于图像分割和加权Fisher判据的彩色IC图像降维

在处理彩色集成电路(IC)图像的过程中,为了降低计算的复杂度,经常需要将彩色图像转换成灰度图像后再进行处理。本文将数据降维中优化判据的思想引入彩色图像到灰度图像的转换中。为了求得最优降维方向,必须寻找一个判据来衡量各个降维方向上形成的灰度图像的质量。文中采用加权的Fisher判据来衡量图像的质量。在将图像分割成区域后,判据中的类间距离反映了区域之间的对比度,类内距离反映了区域内部之间的均匀性,权重反映了区域之间的相邻关系。这样将图像降维分成四步,先挑选样本图像,然后用混合高斯模型进行分割,再优化带权重的Fisher判据得到最优降维方向,最后利用最优降维方向将彩色图像转换成灰度图像。在对彩色IC样本图像进行降维的实验中,该方法能得到比其他方法质量更好的灰度图像。     

基于颜色不变量和仿射不变性的彩色图像配准

ASIFT图像配准算法实现了完全的仿射不变性,但色彩信息的缺失导致算法对光照条件敏感。结合颜色不变量理论和ASIFT算法,提出一种彩色图像配准算法CASIFT。在ASIFT基础上以颜色不变量代替灰度信息提取特征点并建立特征点的特征描述子,解决了ASIFT算法在光照差异较大情况下彩色图像配准率低的问题。实验结果表明,CASIFT彩色图像配准算法对于光照变化和视角变化均有更好的鲁棒性。     

A robust technique based on invariant moments – ANFIS for recognition of human parasite eggs in microscopic images

In this study, we propose a robust technique based on invariant moments – adaptive network based fuzzy inference system (IM-ANFIS). In this technique, some digital image processing methods such as noise reduction, contrast enhancement, segmentation, and morphological process are used for feature extraction stage of IM-ANFIS approach used in this study. Recently, the pattern recognition principles have come into prominence. The pattern recognition includes operation and design of systems that recognize patterns in data sets. Important application areas of pattern recognition techniques are character recognition, speech analysis, image segmentation, man and machine diagnostics and industrial inspection. The technique presented in this study enables to classify 16 different parasite eggs from their microscopic images. This proposed recognition method includes three stages. In first stage, a preprocessing subsystem is realized for obtaining unique features from the same group of patterns. In second stage, a feature extraction mechanism which is based on the invariant moments is used. In third stage, an adaptive network based fuzzy inference system (ANFIS) classifier is used for recognition process. We conduct computer simulations on MATLAB environment. The overall success rate is almost 95%.     

基于RGB颜色模型的轨道轮廓识别算法

在非接触轨距测量系统中,提出一种基于RGB模型轨道轮廓的识别算法。该算法利用光源颜色相对固定的特点,通过提取RGB图像中的R颜色特征分量,并结合图像差影算法和细化算法,准确提取出钢轨断面轮廓。实验结果表明:该算法具有抗噪声能力强、计算速度快、准确性高等特点。     

一种基于单目深度线索的彩色夜视技术研究

由于特殊的成像机制,普遍缺乏深度空间感是夜视图像的一大特点。本文通过研究夜视图像的单目深度线索,估计夜视图像中景物的深度信息,利用色彩的色调和饱和度的变化来体现夜视图像的空间立体视觉感,克服目前彩色夜视图像缺乏立体视觉感的不足,从而改善夜视图像的理解效果。     

基于目标区域的敏感图像特征提取

针对互联网中色情图像传播愈来愈严重的现象,在充分分析色情图像的特征和图像分块处理的基础上,提出了目标区域分割算法。该方法能够有效地提取网络色情图像的特征,具有较高的实用性和研究价值。     

利用图像颜色特征与纹理特征进行图像检索

基于内容的图像检索主要是利用图像的特征,如:颜色直方图、纹理、形状等来进行检索,这种方式能够提高检索的效率与准确率.利用图像的颜色信息与利用快速傅立叶变换来提取纹理特征相结合的方法来进行图像检索,该方法一方面可以反映图像的全局特征,另一方面又反映了图像的局部特征,且具有对图像检索的旋转不变性.     

An image segmentation method using histograms and the human characteristics of HSI color space for a scene image

Image segmentation is an important subject for image recognition. Here, we propose a new image segmentation method for scene images. The proposed segmentation method classifies images into several segments based on the human visual sense and achromatic color. We calculate the histograms of the image for each component of the hue, saturation, and intensity (HSI) color space, and obtain three results of image segmentation from each histogram. We consider achromatic colors in order to decrease the number of regions. We compare the results of the proposed method with those of the k-means methods for the effectiveness of the proposed method. This work was presented, in part, at the 10th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2005     

Extraction of lines and regions from grey tone line drawing images

An algorithm is described for extracting lines from grey level digitizations of industrial drawings. The algorithm is robust, noniterative, sequential and includes procedures for differentiating shaded areas from lines. Examples are given for complex regions of a typical mechanical drawing.     

基于颜色常量的图像特征提取及其降维方法

在图像特征提取过程中,为了提高图像检索中的抗光照影响能力和检索效率,给出了图像颜色索引提取的一种方法-颜色常量方法,利用该方法能减少光照强度变化对颜色检索的影响;给出了图像检索中的一种颜色特征降维方法-主分量分析方法,利用该方法能有效减小特征数据库的大小,提高图像的匹配速度.实验结果表明,给出的方法不但能有效地减少光照强度变化和噪音对图像颜色检索的影响,而且能够有效地提高检索的效率,检索的结果能较好地接近于人们的视觉感知结果.     

区域能量和图像自相似的NSCT域图像融合

非降采样轮廓波变换(NSCT)不仅具有平移不变性,还拥有足够的冗余信息,可以更有效地提取源图像中的方向信息,使得融合后的图像更符合人眼的视觉特性.利用NSCT在图像处理中的优势,针对红外光与可见光图像的融合,提出了一种新的基于改进的区域能量和图像自相似的NSCT域图像融合算法.首先,利用NSCT将图像分解为一个低频子带和多个不同方向的带通子带;然后,对低频子带采用区域能量自适应加权融合规则,带通方向子带则利用图像自相似进行系数的融合;最后,对融合系数进行NSCT逆变换,以重构生成融合图像.实验结果表明:与一些现有算法相比,该算法的图像融合结果在人眼主观视觉标准和客观评价标准上均具有明显优势.     

Extraction and segmentation of tables from Chinese ink documents based on a matrix model

This paper presents an approach for extracting and segmenting tables from Chinese ink documents based on a matrix model. An ink document is first modeled as a matrix containing ink rows, including writing and drawing ones. Each row consists of collinear ink lines containing ink characters. Together with their associated drawing rows, adjacent writing rows having an identical distribution of writing lines and?or the same associated drawing rows if available are extracted to form a table. Row and column headers, nested sub-headers and cells are identified. Experiments demonstrate that the proposed approach is more effective and robust.     

Clavulanic acid production estimation based on color and structural features of streptomyces clavuligerus bacteria using self-organizing map and genetic algorithm

The utilization of antibiotics produced by Clavulanic acid (CA) is an increasing need in medicine and industry. Usually, the CA is created from the fermentation of Streptomycen Clavuligerus (SC) bacteria. Analysis of visual and morphological features of SC bacteria is an appropriate measure to estimate the growth of CA. In this paper, an automatic and fast CA production level estimation algorithm based on visual and structural features of SC bacteria instead of statistical methods and experimental evaluation by microbiologist is proposed. In this algorithm, structural features such as the number of newborn branches, thickness of hyphal and bacterial density and also color features such as acceptance color levels are extracted from the SC bacteria. Moreover, PH and biomass of the medium provided by microbiologists are considered as specified features. The level of CA production is estimated by using a new application of Self-Organizing Map (SOM), and a hybrid model of genetic algorithm with back propagation network (GA-BPN). The proposed algorithm is evaluated on four carbonic resources including malt, starch, wheat flour and glycerol that had used as different mediums of bacterial growth. Then, the obtained results are compared and evaluated with observation of specialist. Finally, the Relative Error (RE) for the SOM and GA-BPN are achieved 14.97% and 16.63%, respectively.     

基于HSV空间和遗传算法的仪器仪表信息提取

为了快速提取出工业上简单仪器仪表上的数字符号,在深入研究分割算法和遗传算法的基础上,提出了一种基于HSV彩色空间与遗传算法相结合的快速分割数字符号的算法。在HSV空间条件下,利用H分量信息映射准确定位待识别数字符号区域后,利用遗传算法实现数字符号与背景的快速有效分割。实验仿真表明:该算法能够有效收敛,并准确分割出数字符号。     

基于LVQ神经网络的视频监控图像火焰检测与识别算法

针对传统火灾火焰探测技术存在不稳定、误判率高的缺点,提出了一种基于人工神经网络的火焰检测与识别算法。通过分析火焰图像的动态特性,利用火焰图像序列的离心率、放射性和整体移动等特征信息,结合学习向量量化(LVQ)神经网络进行训练仿真。实验结果表明,该算法能有效提高监控视频图像中可疑火焰的快速分类,稳定性强,具有较高的火焰识别准确率。     

基于纹理特征的图像检索方法的研究与实现

在研究与分析了纹理特征提取算法的基础上,设计并实现了一个图像检索实验系统。该系统相似性度量采用欧氏距离方法,特征提取算法为共生矩阵,并且利用UIUC图像库中五类536幅蝴蝶图像和Caltech101图像库中的barrel,dalmatian和sunflower三类等图像数据库验证了共生矩阵提取纹理特征的检索方法,并对不同测试图库所得到的实验结果进行比较。从实验结果可以看出,对于具有明显的纹理特征的图像数据库利用共生矩阵提取算法还是具有较好的检索性能,可以得到较好的检索效果。     

基于图像处理的罗汉果颜色与甜甙V关系研究

利用图像处理技术提取罗汉果表皮的R、G、B、H、S、I颜色值,对罗汉果贮藏过程中的颜色变化进行了分析研究,并与实测的罗汉果甜甙V的含量值相对照,结果表明,罗汉果表面颜色随贮藏时间的变化可以间接地反映罗汉果甜甙V含量的变化情况。     

基于分块主色调和纹理特征的彩色图像检索

提出一种基于分块主色调和纹理特征的彩色图像检索方法。该方法首先提取占彩色图像比重较大的前几种主色调,根据主色调将图像划分为不同分块,并以主色调作为各分块图像的颜色特征。然后,采用灰度共生矩阵算法,提取各分块的纹理特征。综合考虑各分块图像的颜色特征和纹理特征,从图像数据库中检索相似图像。实验结果表明,该方法具有较高的检索效率。