基于频率域的图像质量检测方法

目前无参考图像质量评价方法中存在的量化精度不高和受图像对比度、纹理结构影响大等不足,难以用于高通量基因测序图像质量的检测。为此,在分析了黑色背景图像上叠加规则白色形状的同态傅里叶变换的基础上,提出了一种基于频率域的图像质量评价模型。该模型通过对频率域所表现出的图像纹理结构进行预处理,最终建模实现了高通量基因测序图像质量的评价指标。实践表明,该方法在评价高通量基因测序图像质量中具有较好的量化精度和可靠性。     

表面轮廓智能测控系统设计

针对传统轮廓仪功能单一、精度不高的缺陷,提出了一种智能化表面轮廓测量方法;采用软硬结合的办法,以计算机为测控中心,采用模块化结构和智能数据处理系统,使其具有自动控制、数据采集、结果分析及输出等功能,并可方便升级换代;介绍了系统所采用的硬件结构及软件方法,并在Talysurf6型轮廓仪上进行实验验证;结果表明,该方法确能有效扩展仪器功能,并提高了系统测量精度.     

采用Rogowski线圈测量雷电冲击电流

传统电磁式CT应用在高频大暂态电流测量中存在波形失真的不足,而Rogowski线圈可以较好地用于该类冲击电流幅值及波形的测量.通过对一个实际Rogowski线圈的动态特性进行理论计算并仿真,再与实测结果相对比.对比分析结果表明,Rogowski线圈在大幅度范围里对雷电冲击电流测量精度都能满足要求.     

基于滤波器组的纹理分类研究

论述了基于滤波器组的纹理分类方法。该方法首先利用滤波器组对纹理进行滤波，纹理特征是用滤波器输出的统计值表示的；然后用这些特征向量进行纹理分类研究，分类主要利用了简单（naive）Bayes分类方法和最大加权相关树分类方法。实验显示，最大加权相关树分类方法的效果是较好的。     

Ti-IF钢冷轧板罩式退火工艺研究

为提高Ti-IF钢的综合性能,在Gleeble-1500热模拟试验机上,研究了退火工艺对Ti-IF钢组织和再结晶结构的影响,结果表明:再结晶温度随保温时间的延长而降低,在实验室条件下,保温1 h的再结晶温度为650℃,保温3 h的再结晶温度为640℃;Ti-IF钢对退火升温速度不敏感,可以采用较高的升温速度,如60℃/h.根据罩式退火的特点,为保证钢卷的冷点和温度的均匀性,Ti-IF钢的退火控制温度应按罩式炉上限控制,并保证足够的保温时间.经过工业生产和用户使用表明,产品冲压性能优良,质量稳定.     

FFT和Hough变换在织物纹理方向检测上的应用

针对人工测量织物纹理方向的方法存在自动化程度低、精度不高的缺点,提出基于快速傅里叶变换和Hough变换的自动检测和识别织物经向、纬向、斜纹斜向的方法。对织物图像进行二值化处理,对二值化后的织物图像进行快速傅里叶变换得到功率谱图,对功率谱图的二值图像进行Hough变换,从而检测出织物纹理方向。通过对同一试样的不同放置方式进行测试,证明该方法对织物放置方式无特殊要求,仅需确保试样平摊在光滑台面上不受任何张力;将该方法与人工测试结果作对比,证明该方法具有高精度、高自动化的优点。     

Application-independent feature selection for texture classification

Recent developments in texture classification have shown that the proper integration of texture methods from different families leads to significant improvements in terms of classification rate compared to the use of a single family of texture methods. In order to reduce the computational burden of that integration process, a selection stage is necessary. In general, a large number of feature selection techniques have been proposed. However, a specific texture feature selection must be typically applied given a particular set of texture patterns to be classified. This paper describes a new texture feature selection algorithm that is independent of specific classification problems/applications and thus must only be run once given a set of available texture methods. The proposed application-independent selection scheme has been evaluated and compared to previous proposals on both Brodatz compositions and complex real images.     

基于约束的多样图纹理合成方法

基于已有的约束的多样图纹理合成算法,提出采用图像金字塔的方法来实现,并在其中利用了纹理的相关性原理,不仅可以合成自然纹理,而且对结构性较强的纹理也取得了较好的效果,合成速度也得到了提高。实验结果表明,该算法在合成质量和合成速度上都有较大的提高,对于控制某种纹理在合成结果图中的位置的纹理合成有广泛的适用性。     

Texture-based pattern retrieval from image databases

Recent technological advances have made it possible to process and store large amounts of image data. Perhaps the most impressive example is the accumulation of image data in scientific applications such as medical or satellite imagery. However, in order to realize their full potential, tools for efficient extraction of information and for intelligent searches in image databases need to be developed. This paper describes a new approach to image data retrieval which allows queries to be composed of local intensity patterns. The intensity pattern is converted into a feature representation of reduced dimensionality which can be used for searching similar-looking patterns in the database. This representation is obtained by filtering the pattern with a bank of scale and orientation selective filters modeled using Gabor functions. Experimental results are presented which illustrate that the proposed representation preserves the perceptual similarities, and provides a powerful tool for content-based image retrieval.