一种衡量DFBR图像分形特性强弱的准则

在ＤＦＢＲ场理论的基础上，考虑了图像分形特性强弱的问题．依据实验中的数据的分布形式，提出了一个衡量分形特性强弱的参数——分形度及其相应的算法，并通过实验分析了它在图像分类中的应用，得到了有益的结论     

光流计算中的时域微分估计误差分析与逐次逼近计算模型

光流计算是实现视频序列中运动补偿滤波和视频对象三维运动分析的基础,也是检测与跟踪可见光图像和红外图像中运动目标的重要前提.而目前各种光流计算方法大多是基于一阶时空梯度的技术,都没考虑时域微分估计误差对计算准确性的影响.分析了光流计算中产生时域微分估计误差的各种因素,提出了光流的逐次逼近计算模型.通过位移预补偿方式减小了时域微分估计中的不准确性,极大地提高了光流计算精度.理论分析和大量对比实验证明,光流的逐次逼近计算模型比通常的光流计算方法具有更高的准确性.     

A detection strategy of multi-pose face in compressed domain

In this paper, we present a strategy to implement multi pose face detection in compressed domain. The strategy extracts firstly feature vectors from DCT domain, and then uses a boosting algorithm to build classifiers to distinguish faces and non-faces. Moreover. to get more accurate results of the face detection, we present a kernel function and a linear combination to build incrementally the strong classifiers based on the weak classifiers. Through comparing and analyzing results of some experiments on the synthetic data and the natural data, we can get more satisfied results by the strong classifiers than by the weak classifies.     

The refinement algorithm consideration in text clustering scheme based on multilevel graph

To construct a high efficient text clustering algorithm, the multilevel graph model and the refinement algorithm used in the uncoarsening phase is discussed, The model is applied to text clustering. The performance of clustering algorithm has to be improved with the refinement algorithm application, The experiment result demonstrated that the muhilevel graph text clustering algorithm is available,     

An improved double-threshold method based on gradient histogram

This paper analyzes the characteristics of the output gradient histogram and shortages of several traditional automatic threshold methods in order to segment the gradient image better. Then an improved double-threshold method is proposed, which is combined with the method of maximum classes variance, estimatingarea method and double-threshold method. This method can automatically select two different thresholds to segment gradient images. The computer simulation is performed on the traditional methods and this algorithm and proves that this method can get satisfying result.     

A flower image retrieval method based on ROI feature

Flower image retrieval is a very important step for computer-aided plant species recognition. In this paper, we propose an efficient segmentation method based on color clustering and domain knowledge to extract flower regions from flower images. For flower retrieval, we use the color histogram of a flower region to characterize the color features of flower and two shape-based features sets, Centroid-Contour Distance (CCD) and Angle Code Histogram (ACH), to characterize the shape features of a flower contour. Experimental results showed that our flower region extraction method based on color clustering and domain knowledge can produce accurate flower regions. Flower retrieval results on a database of 885 flower images collected from 14 plant species showed that our Region-of-Interest (ROI) based retrieval approach using both color and shape features can perform better than a method based on the global color histogram proposed by Swain and Ballard (1991) and a method based on domain knowledge-driven segmentation and color names proposed by Das et al.(1999).     

小麦群体图像高产智能诊断知识库的构造方法

本文利用神经网络方法和粗集理论,从小麦群体图像中提取小麦特征指标数据,自动创建和维护小麦高产诊断知识库,实现对小麦群体发展动态进行监测调控,使其沿着高产目标的预定方向发展。     

Photoshop中不规则图像的选取方式

运用Photoshop软件处理图像时,“选取”是首要的也是至关重要的五。本文根据艺术设计实际运用情况,对于选取的方法进行了多方面的探索和总结。     

AF/PSTM图像分解方法及其数值模拟结果

介绍1996年申请的一项发明专利--光纤尖"共振原子力/光子扫描隧道显微镜（AF/PSTM）"图像分解方法。该方法用入射角以光纤尖轴线为π对称的光束照明样品消假像,在AF/PSTM双功能弯光纤尖共振频率条件下,采用等尖至样品平均间距（即等振幅）扫描或等光子隧道信息平均强度扫描两种模式成像,分解样品光学图像和形貌图像。用最简单的PSTM两介质模型推导了近似的图像分解的解析表达式,最后用PSTM四介质模型数值模拟结果说明了该方法是可行的和有效的。     

基于扩频技术的图像盲水印

在分析数字水印和扩频通信联系的基础上,提出了一种基于扩频技术的盲水印方法．该方法使用宿主图像的两块DCT变换系数块中嵌入一位水印信息,通过量化使它们呈现足够大的统计差别,从而使水印检测时能提取水印信息．实验结果表明：该方法水印有较好的不可视性和鲁棒性,检测水印的虚警概率很低．