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hsv color model
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  hsv color model
Users of the HSV color model were the slowest in this experiment.
      
The HSV color model is known to satisfy this property.
      
This agent uses the HSV color model in combination with some statistical measures.
      
In our method, the HSV color model was chosen because of its compatibility with the human color perception.
      
As shown in Figure 4 using the L1 metric we obtained an improvement in retrieval accuracy by up to 8% when using the HSV color model.
      


Based on the divided computing nets in computational fluid dynamic(CFD) and by using the continued color shading algorithms, the paper identifies the steps involved in the scientific visualization and animation of CFD results in 2D scalar data fields. The methods of the triangle element division from general rectangle elements and the shading algorithm combined with Gouraud\|Shading and barycentric interpolation are described in detail in this paper. According to the characteristics and properties of...

Based on the divided computing nets in computational fluid dynamic(CFD) and by using the continued color shading algorithms, the paper identifies the steps involved in the scientific visualization and animation of CFD results in 2D scalar data fields. The methods of the triangle element division from general rectangle elements and the shading algorithm combined with Gouraud\|Shading and barycentric interpolation are described in detail in this paper. According to the characteristics and properties of HSV color model in the computer graphics, the two different kinds of linear interpolations between scalar data and used color value are used to visualize the CFD results in the form of static state and dynamic state. As an example, the procedure to simulate the changes of fluid function and turbulence strength values resulting from CFD for a wing section is presented to demonstrate that the proposed methods are viable.

针对某翼型设计的 CFD计算结果 ,采用色调连续变化的图像映射方法 ,基于划分的计算网格 ,提出了三角单元结构的抽取和将 Gouraud-Shading与质心坐标插值法相结合的扫描线转换算法 ,并根据 HSV颜色模型的特点建立了可视化标量与颜色值之间的两种线性对应关系 ,在此基础上实现了翼型设计的 CFD计算结果中流体流函数和旋涡强度二维标量场的静态和动态可视化显示 ,实例证明了算法的有效性

Extracting the extra materia defect features from an IC real image is very important to the classification and recognition of the defect in the IC real manufacturing process. In this paper, a boundary detecting method based on mathematical morphology for IC real extra material defects is presented at first. Secondly, the boundary chain code of the extra material defect is generated from the IC boundary image. Finally, several size and shape features are detected so that the IC extra material defect can be identified....

Extracting the extra materia defect features from an IC real image is very important to the classification and recognition of the defect in the IC real manufacturing process. In this paper, a boundary detecting method based on mathematical morphology for IC real extra material defects is presented at first. Secondly, the boundary chain code of the extra material defect is generated from the IC boundary image. Finally, several size and shape features are detected so that the IC extra material defect can be identified. In preprocessing phase, the IC image is segmented using HSV color model and the background noises are removed from the IC noisy image by the morphological operating. This step is followed by morphological eroding and dilating for filling holes in the segmented IC image obtain the isolation and extraction of IC extra material defects from a complex scene. Once isolated, the extra material defect boundary can be examined by using morphology operators. The group size features (those are area, perimeter, object core, width and length) and the shape feature (those are called rectangularity and circularity measures) are detected from the boundary image. Experimental result shows that proposed methods make the shape analyzing of IC extra material defects simple and detectable.

为了对 IC制造中真实多余物缺陷进行分类与识别 ,IC多余物缺陷的特征提取是非常重要的一步 .文中首先提出一种基于数学形态学的 IC真实多余物缺陷边界的检测方法 .其次对边界进行了链码描述 .最后对边界所表示的多余物缺陷进行了尺寸测量与形状分析 .在预处理阶段 ,利用彩色 HSV模型分割原 IC图像 ,然后用形态学开运算消除背景噪音 .对开后的结果图像进行形态膨胀及形态腐蚀运算 ,消除多余物缺陷中的小洞噪音以获得从复杂背景中分离和抽取多余物缺陷 .对分离后的缺陷用形态学算子提取边界 .由缺陷边界检测出一组缺陷的尺寸特征 (面积、周长、形心、宽度、高度 )及缺陷的形状特征 (矩形度、圆形度特征 ) .实验结果表明该文方法使多余物缺陷形状分析简单且易于测量 .

The paper gives an image retrieval method based on color-space histogram.First,it uses HSV color model to compress color space to32kinds of representative colors,then designs8overlapped sub-regions to get color histogram in each region,finally the similarity is estimated based on the color-space two dimension histogram.The method is sim-ple and effect which avoid the shortcoming of losing the space distribution information in color histogram in some ex-tent and the trouble...

The paper gives an image retrieval method based on color-space histogram.First,it uses HSV color model to compress color space to32kinds of representative colors,then designs8overlapped sub-regions to get color histogram in each region,finally the similarity is estimated based on the color-space two dimension histogram.The method is sim-ple and effect which avoid the shortcoming of losing the space distribution information in color histogram in some ex-tent and the trouble in getting the space distribution information by image segmentation.The method is more flexible and accurate to describe the color feature of an image and improves the image retrieval precision.

基于颜色直方图特征的图象检索方法简单、高效,但丢失了颜色的空间分布信息。文章给出了一种基于颜色-空间二维直方图进行图象检索方法。该方法使用HSV颜色模型将颜色空间压缩为32种具有代表性的颜色,设计了一种具有重叠方式的图象分块方法,然后统计每块区域内的颜色直方图得到该图象的颜色-空间二维直方图,并给出了相应的相似度计算方法。实验表明该方法实现简单,能够更加灵活、准确地描述图象的颜色特征,从而有效提高了检索的精度。

 
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