The role of occlusion in the perception of depth, lightness, and opacity.

A theory is presented that explains how the visual system infers the lightness, opacity, and depth of surfaces from stereoscopic images. It is shown that the polarity and magnitude of image contrast play distinct roles in surface perception, which can be captured by 2 principles of perceptual inference. First, a contrast depth asymmetry principle articulates how the visual system computes the ordinal depth and lightness relationships from the polarity of local, binocularly matched image contrast. Second, a global transmittance anchoring principle expresses how variations in contrast magnitudes are used to infer the presence of transparent surfaces. It is argued that these principles provide a unified explanation of how the visual system computes the 3-D surface structure of opaque and transparent surfaces. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

纸张背衬不同衬底时的光反射率的研究

从理论上研究了纸张背衬不同衬底的光反射率，得出下列表达式：Ｒｂ＝Ｒｏ＋（Ｒ∞－Ｒｏ）×（１／Ｒ∞－Ｒｏ）／（１／Ｂ－Ｒｏ）（Ｂ为衬底的光反射率），该式简单实用且物理意义明确。利用上述公式，可将Ｔａｐｐｉ标准列出的Ｔａｐｐｉ不透明度Ｃ０．８９的换算公式简化，并可从理论上定性地讨论纸张不透明度与印刷透印性的关系。     

遮盖聚合物的制备及其在水性涂料中的应用

合成了一种中空徽球遮盖聚合物?采用扫描电子显微镜分析了所合成遮盖聚合物的形貌结构，并对采用该遮盖聚合物的水性涂料的配方作了简单研究。该遮盖聚合物在有光乳胶漆中可以部分替代钛白粉，降低成本；即使在工程乳胶漆中，加少量该遮盖聚合物也可以适当提高涂层的耐洗刷性能。     

直接体绘制中传输函数设计综述

给出了传输函数的定义,将设计方法分为试错法,以数据为中心和以图像为中心三类设计方法,对各种方法的特点及前景进行了分析和评价。     

新闻纸的白度、色度与不透明度

本文通过对目前新闻纸市场上新闻纸的白度、色度和不透明度的调查，结合本厂的实践提出了对新闻纸的ISO白度、CIE白度、L^＊、a^＊、b^＊值和不透明度的合理控制范围。     

提高以草浆为主的低定量涂布纸不透明度的研究

在选择好对不透明度有利的优质功能颜料及其最佳添加量范围的研究基础上,又从性能价格比方面进一步探讨颜料的搭配对不透明度的影响,结果得出了由高岭土、UFGCC和优质功能颜料组成的三元体系优越于由高岭土和优质功能颜料组成的双元体系的结论,其中UFGCC添加量为20份左右,煅烧土20－30份,钛白添加量为7．5份左右。     

Opacity calculation based on average atom model

ＯｐａｃｉｔｙｃａｌｃｕｌａｔｉｏｎｂａｓｅｄｏｎａｖｅｒａｇｅａｔｏｍｍｏｄｅｌＳｕｎＹｏｎｇＳｈｅｎｇ，ＭｅｎｇＸｕＪｕｎａｎｄＺｈｅｎｇＳｈａｏＴａｎｇ（ＬａｂｏｒａｔｏｒｙｏｆＣｏｍｐｕｔａｔｉｏｎａｌＰｈｙｓｉｃｓ，Ｉｎｓｔｉｔｕｔ...     

通过喷射过氧化氢降低直喷式柴油机排放的研究

在单缸直喷柴油机上利用第2个喷嘴向燃烧室内喷射过氧化氢(H2O2)，对其降低柴油机排烟消光度和NOx的效果进行了试验验证，研究了每循环过氧化氢的喷射量和喷射定时对降低柴油机烟度的影响。当含30％(V)H2O2的水溶液的喷射量为柴油的一半时，柴油机的动力性和燃油经济性改善了4％左右，排气烟度可下降30％左右，且NOx也略有减少。     

Classification of ground glass opacity lesion characteristic based on texture feature using lung CT image

Lung cancer causes a high mortality rate in the world than any other cancers. That can be minimised if the symptoms and cancer cells have been detected early. One of the techniques used to detect lung cancer is by computed tomography (CT) scan. CT scan images have been used in this study to identify one of the lesion characteristics named ground glass opacity (GGO). It has been used to determine the level of malignancy of the lesion. There were three phases in identifying GGO: image cropping, feature extraction using grey level co-occurrence matrices (GLCM) and classification using Naïve Bayes Classifier. In order to improve the classification results, the most significant feature was sought by feature selection using gain ratio evaluation. Based on the results obtained, the most significant features could be identified by using feature selection method used in this research. The accuracy rate increased from 83.33% to 91.67%, the sensitivity from 82.35% to 94.11% and the specificity from 84.21% to 89.47%.