镁质熔剂性球团矿相的多重分形谱

 球团矿相微观结构决定其冶金物理化学性能，为透视球团矿微观结构与其宏观冶金物理化学性能之间的依赖关系，需要解决的首要关键问题是矿相微观视觉特征的提取与定量表征。以镁质熔剂性球团微观矿相为研究对象，在直观分析矿相视觉特征的基础上，采用多重分形谱分析方法，提取矿相的微观多重分形谱定量表征值f（α），并分别深度挖掘由f（α）衍生出的对称度特征值Δf、谱宽特征值Δα、容量维特征值D（0）随碱度变化的迁移规律和随矿相检测位置变化的迁移规律。研究结果表明，矿相微观视觉特征在HSV颜色空间上呈现的颜色特征未在碱度变化和位置变化上存在显著差异性；矿相微观多重分形谱分析中，Δf、Δα、D（0） 3个特征值在碱度变化和位置变化上有显著的差异性，可以很好地表征碱度迁移规律和位置迁移规律。     

Automatic Segmentation and Detection System for Varicocele Using Ultrasound Images

The enlarged veins in the pampiniform venous plexus, known as varicocele disease, are typically identified using ultrasound scans. The medical diagnosis of varicocele is based on examinations made in three positions taken to the right and left testicles of the male patient. The proposed system is designed to determine whether a patient is affected. Varicocele is more frequent on the left side of the scrotum than on the right and physicians commonly depend on the supine position more than other positions. Therefore, the experimental results of this study focused on images taken in the supine position of the left testicles of patients. There are two possible vein structures in each image: a cross-section (circular) and a tube (non-circular) structure. This proposed system identifies dilated (varicocele) veins of these structures in ultrasound images in three stages: preprocessing, processing, and detection and measurement. These three stages are applied in three different color modes: Grayscale, Red-Green-Blue (RGB), and Hue, Saturation, and Value (HSV). In the preprocessing stage, the region of interest enclosing the pampiniform plexus area is extracted using a median filter and threshold segmentation. Then, the processing stage employs different filters to perform image denoising. Finally, edge detection is applied in multiple steps and the detected veins are measured to determine if dilated veins exist. Overall implementation results showed the proposed system is faster and more effective than the previous work.     

基于统计特征分类耦合自适应 Gamma校正的图像增强算法

为了避免图像在亮度增强时导致其颜色失真,且在局部易出现过增强等问题,设计了统计特征分类耦合自适应Gamma校正(adaptive Gamma correction,AGC)的图像增强算法,以更好提高图像细节与视觉效果。首先,将输入图像转换为HSV空间,使颜色与亮度分离,使其在增强亮度通道时不改变像素的原始颜色,有效降低颜色失真。然后,考虑不同图像的性质,利用统计信息将图像分类为高、低两种对比度,每种对比度又分为亮、暗两类。其次,基于传统的Gamma校正方法,通过对于不同类型的图像进行动态参数设置,形成一种AGC机制,从而为不同类型图像的构建了不同的增强函数,以完成不同类别图像的增强处理。实验数据表明,与当前流行的增强算法相比,所提算法具备更高的增强效果,呈现出更为自然的亮度与对比度,且保持了更多的颜色信息。     

Dendrimer as nanocarrier for drug delivery

Dendrimers are novel three dimensional, hyperbranched globular nanopolymeric architectures. Attractive features like nanoscopic size, narrow polydispersity index, excellent control over molecular structure, availability of multiple functional groups at the periphery and cavities in the interior distinguish them amongst the available polymers. Applications of dendrimers in a large variety of fields have been explored. Drug delivery scientists are especially enthusiastic about possible utility of dendrimers as drug delivery tool. Terminal functionalities provide a platform for conjugation of the drug and targeting moieties. In addition, these peripheral functional groups can be employed to tailor-make the properties of dendrimers, enhancing their versatility. The present review highlights the contribution of dendrimers in the field of nanotechnology with intent to aid the researchers in exploring dendrimers in the field of drug delivery.     

基于信息熵和Gabor滤波器的图像检索

采用颜色和纹理的多特征提取,将图像按照一定的规则进行分块,对各个分块分别进行各种特征向量的提取.采用HSV颜色空间把颜色特征量化到72个颜色空间得到72柄的一维直方图,计算图像信息熵;纹理特征采用Gabor滤波器.该种分块方法能够很好的利用图像内容的空间信息,综合颜色和纹理特征能够有效地提高查全率和差准率.     

基于HSV空间的彩色监控视频前景提取方法

提出了一种有效的HSV空间视频序列图像背景去除方法.首先,将彩色视频分解为彩色图像帧序列,然后将图像进行高斯滤波,做平滑处理,再利用surendra背景更新算法动态更新背景图像.将当前帧像素矩阵与背景矩阵做差分,通过比较差分矩阵来确定当前帧中前景的区域.实验结果表明,此方法成功地减除了彩色帧图像的背景,较好地保留了前景...     

量化颜色直方图的改进与应用

对图像进行灰度量化时,容易把颜色不同而灰度相同的像素归为一类,造成量化误差而影响评价结果。基于HSV颜色空间,通过统计样本数据,结合人眼观察彩色的视觉特性,确定了颜色量化范围,建立了适合伪装特点的颜色直方图,利用距离函数进行了目标颜色特征的伪装效果评价。实验结果表明,利用改进的量化颜色直方图评价目标伪装效果,能够客观地...     

基于HSV色彩空间的图像分割

为了辨识和分析目标,需要将这些有关区域分离出来,在此基础上才有可能对目标进一步处理。本文提出了一种利用HSV色彩空间的图像分割方法,根据HSV色彩空间的颜色和亮度无关,将彩色图像从RGB空间变换到HSV空间,然后经过H分割对绿地植被信息进行提取得到分割结果。实验表明该方法具有很强的鲁棒性。     

基于动态贝叶斯网络的手势识别

研究了动态手势的识别技术,实现人机交互。采用HSV空间的肤色模型实现手势定位,光流场算法进行手势追踪,具有较好的快速性、准确性和鲁棒性。提出应用链码描述手势运动矢量,双手相对位置标量以及双手与脸的相对位置标量,将多条链码作为动态手势的特征进行提取。建立了一个动态手势识别的动态贝叶斯网络模型,将一部分手势链码作为训练样本,通过对DBNs的推理学习实现手势识别。实验构建动态手势识别系统,可应用于多媒体、智能电器或幻灯片控制之中。     

小波变换模极大值与改进的Retinex在阴影检测与去除中的应用

阴影是由于目标阻塞了光源的直接照射而在场景上形成的暗区域。图像中阴影的存在直接影响了图片的质量,影响目标的提取和跟踪。因此如何消除阴影成为图像处理的关键。文中提出了基于Retinex算法的阴影去除方法。文中首先利用小波变换模极大值检测阴影区域,然后用Retinex算法去除阴影。阴影去除后对画面进行调整,将RGB空间转换到HSV空间,增强V分量的同时,利用S分量随着V分量的增强进行自适应调整,最后将HSV转换到RGB。实验结果表明,该算法在去除阴影的同时细节信息也得到了增强,取得了很好的效果。