Physics‐based spectral sharpening through filter‐chart calibration

The spectral overlap of color‐sampling filters increases errors when using a diagonal matrix transform, for color correction and reduces color distinction. Spectral sharpening is a transformation of colors that was introduced to reduce color‐constancy errors when the colors are collected through spectrally overlapping filters. The earlier color‐constancy methods improved color precision when the illuminant color is changed, but they overlooked the color distinction. In this article, we introduce a new spectral sharpening technique that has a good compromise of color precision and distinction, based on real physical constraints. The spectral overlap is measured through observing a gray reference chart with a set of real and spectrally disjoint filters selected by the user. The new sharpening method enables to sharpen colors obtained by a sensor without knowing the camera response functions. Experiments with real images showed that the colors sharpened by the new method have good levels of color precision and distinction as well. The color‐constancy performance is compared with the data‐based sharpening method in terms of both precision and distinction. © 2014 Wiley Periodicals, Inc. Col Res Appl, 40, 564–576, 2015     

属性识别理论在黄前水库水质评价中的应用

本文根据属性识别理论,探讨了水库水质的综合评价模型,应用此模型对黄前水库的水质进行评价,结果与灰色关联度法基本相同,比较符合实际情况。同时该方法简单、易懂,更适合于有标准的系统质量评价问题。     

基于区分Web QoS的负载均衡集群模型

随着电子商务的应用逐步深入,用户访问量的激增且服务请求多样．如何实现对所有请求的快速响应是当前解决的问题．针对此问题,本文提出采用基于区分WebQoS的负载均衡技术．建立了基于区分WebQoS的负载均衡的集群模型．根据请求类型和用户权限划分服务等级,高服务的请求具有高优先调度权,在集群当中通过动态反馈技术均衡调度到某个节点,从而达到区分WebQoS服务的目的,同时也保证集群服务器的负载均衡．该模型在网络环境及硬件环境相同的条件下,与常用的负载均衡技术进行了比较,实验结果证明本文提出的方法效果显著．     

一种基于变精度粗糙集的图像分类方法

基于变精度粗糙集,引入近似区分矩阵的概念,提出一种基于颜色特征的图像分类模型及其分类算法.变精度粗糙集理论在数据分类应用中主要是将集合间精确的包含关系改为多数包含关系,既允许一定程度的错误分辨率存在.用该方法进行图像资源的分类,克服了经典粗糙集不宜处理带有噪声的数据和决策表不协调的分类问题的缺陷,同时又大大简化分类规则,且形成的规则集便于用户理解.完善近似空间的概念.实验结果表明：在处理决策表不协调的图像分类问题,变精度粗糙集方法性能良好,分类准确、高效.     

改进颜色融合的医学图像彩色化技术

彩色化后的医学图像能清晰体现患者病灶信息有利于医患沟通。提出改进颜色融合的医学图像彩色化方法,首先利用基于KNN的图像前背景区分算法,强化病灶区域的边界信息;然后以此为约束条件,只需提供简单的着色输入;最后将边界能量引入颜色融合方法,得到较好的着色结果。着色图像保持了原图的灰度信息不变,增加了彩色标记图像的颜色和真实感。实验结果表明,该算法具有较高的精确度,可有效的应用于医学图像彩色化处理。     

一种基于场景区分算法的背景抽取方法

视频监控面对的场景具有静态的成分和缓变的成分.为了从视频流中稳定地抽取较精确的背景,提出了一种基于场景区分的背景抽取算法.首先通过混合高斯模型对视频序列中稳定的成分进行建模,然后采用Kalman滤波模型对视频序列中变化的成分进行建模,最后采用场景的区分算法将2种模型结果进行处理从而得到背景.实验结果表明:该方法能从视频...     

PCA和SVM在火焰监测中的应用研究

通过对火焰图像进行分析,提取火焰亮度、火焰面积、质心偏移距离和圆形度等7个特征量.然后基于主元分析技术,提出一种对燃烧火焰稳定性进行监视和诊断的方法,采用Hotelling T2和Q两个统计量对每一时刻的图像数据向量进行监测,检验是否超过各自的控制限,只要这两个统计量之一越限,则可判定燃烧出现异常.实验结果表明:该方法能够在线实时地、有效地识别、判断火焰的燃烧状态,并且将结果以Q图、Hotelling T2图和主元图的形式直观地表示出来;该文同时应用支持向量机方法分别对特征向量和原始图像数据进行识别分类,结果表明基于主元分析原理和支持向量机方法所得到的结果是一致的.     

How many object colors can we distinguish?

The question of how many different colors humans can perceive has been of interest to philosophers, psychologists and color scientists for centuries. In recent years the question of the number of distinguishable object color stimuli has been addressed by color scientists by defining a distinguishable color as a given stimulus surrounded by the contour of stimuli just noticeably different from the central stimulus. For a particular set of conditions the number of distinguishable object color stimuli assessed in this manner has recently been found to be slightly larger than 2 million. In this article an argument is made that the related rules are arbitrary and unnecessarily limiting. Based on logical arguments and experimental just noticeable difference data it is shown that, for the conditions involved, a more realistic if conservative number of distinguishable object color stimuli is ～40 million. © 2015 Wiley Periodicals, Inc. Col Res Appl, 41, 439–444, 2016     

Intrusion of software robots into journalism: The public's and journalists' perceptions of news written by algorithms and human journalists

This study adopted a two (author: algorithm or journalist) by two (notification of author: real or inverse) between subject design to investigate how the public and journalists perceive the quality of algorithms-written articles compared with human journalist's work. Findings showed that both the public and journalists' evaluations were varied by the manipulation of author notification. That is, the public gave higher scores to the algorithm's work when it was notified as the real author, but they gave lower scores to the algorithm's work when the author was notified as a journalist. It confirmed the public's negative attitude toward journalists' credibility and craving for new information and communication technology (ICT) products/services in Korea. Based on journalists' resistance to change and innovation and the theory of prejudice, it was expected that journalists would be favorable to another journalist's work and unfavorable to an algorithm's work. However, contrary to the hypothetical expectation, journalists also gave higher scores to an algorithm's work and lower scores to a journalist's work. Implications relating to the intrusion of algorithm-written articles into journalism were discussed.     

中国古典诗词研究中的“悬案”刍议

对中国古典诗词的研究,经常会因为对作品可以作不同的理解而造成研究者观点上的分歧,从而产生诸多诗词研究中的“悬案”。这种学术观点上的分歧固然没有标准答案,但只要掌握了正确的研究方法去分析辨别,不同观点间的优劣还是可以进行比较的。