会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 3. 发明申请
    • Composition for Texturing Process
    • 纹理过程的组成
    • US20080070482A1
    • 2008-03-20
    • US11632295
    • 2005-07-12
    • Jiro YamadaMegumi KandaYoshiki Hayashi
    • Jiro YamadaMegumi KandaYoshiki Hayashi
    • B24B1/00C09K3/14
    • G11B5/8404
    • To provide a composition capable of minimizing the average surface roughness (Ra) after texturing of the ground layer of an aluminum magnetic disc or the surface of a glass magnetic disc, forming fine texturing streaks, removing “polishing marks” or “polishing scratches” ascribable to the substrate polishing step and which are present on the ground layer or on the surface, and ensuring a high processing rate. A composition for a texturing process, which is used for texturing a ground layer of an aluminum magnetic disc or a surface of a glass magnetic disc, the composition comprising (A) nano-diamond particles having a specific surface area of 150 m2/g or more, (B) a fatty acid having from 10 to 22 carbon atoms or a fatty acid salt, and (C) an organic amine compound.
    • 为了提供能够使铝磁盘的接地层或玻璃磁盘的表面纹理化后的平均表面粗糙度(Ra)最小化的组合物,形成细微的纹理条纹,除去归因的“抛光痕迹”或“抛光划痕” 到基板研磨步骤,并且其存在于接地层或表面上,并且确保高处理速率。 用于纹理化处理的组合物,其用于纹理化铝磁盘或玻璃磁盘的表面的接地层,所述组合物包含(A)比表面积为150μm的纳米金刚石颗粒, (B)具有10-22个碳原子的脂肪酸或脂肪酸盐,和(C)有机胺化合物。
    • 10. 发明申请
    • Out-of-focus detection method and imaging device control method
    • 离焦检测方法和成像装置控制方法
    • US20060078217A1
    • 2006-04-13
    • US11132449
    • 2005-05-19
    • Eunice PoonMegumi KandaIan Clarke
    • Eunice PoonMegumi KandaIan Clarke
    • G06K9/40
    • H04N5/23212
    • The technique of the invention calculates an edge gradient magnitude a(x,y) at each pixel position (x,y) and an edge width w(x,y) from luminance values of an object image, and computes an out-of-focus evaluation value M(x,y) at each pixel position (x,y) from the calculated edge gradient magnitude a(x,y) and edge width w(x,y). The technique then divides the object image into a preset number of blocks, determines a representative out-of-focus evaluation value Y(m,n) in each block, and compares the representative out-of-focus evaluation value Y(m,n) with a preset threshold value for block classification to categorize each block as an in-focus block or an out-of-focus block. The technique eventually determines the object image as in-focus or out-of-focus, based on the total number of blocks included in in-focus block areas, the total number of blocks included in out-of-focus block areas, and the relative positions of the in-focus block areas and the out-of-focus block areas to the whole image.
    • 本发明的技术根据对象图像的亮度值计算每个像素位置(x,y)的边缘梯度a(x,y)和边缘宽度w(x,y) 根据计算的边缘梯度a(x,y)和边缘宽度w(x,y),在每个像素位置(x,y)处的焦点评估值M(x,y)。 然后,该技术将对象图像分割为预定数量的块,确定各块中的代表性的焦点外评价值Y(m,n),并且将代表的失焦度评估值Y(m,n )具有用于块分类的预设阈值,以将每个块分类为对焦块或失焦块。 该技术最终基于包括在聚焦块区域中的块的总数,包括在非对焦块区域中的块的总数,以及 聚焦块区域和离焦块区域相对于整个图像的相对位置。