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首页> 外国专利> AUTOMATED SYSTEM FOR ANALYSIS OF BIOMEDICAL microimages DETECTION AND CHARACTERIZATION informatively OBJECTS SET OF A uniform background

AUTOMATED SYSTEM FOR ANALYSIS OF BIOMEDICAL microimages DETECTION AND CHARACTERIZATION informatively OBJECTS SET OF A uniform background

机译：自动化背景下生物医学微图像检测和表征分析系统

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The utility model is aimed at smoothing the inhomogeneous complex background, is able to allocate small objects on the micro-biological and medical depending on predetermined size and luminance values, to eliminate the objects are not in focus, separate closely located objects, calculate characteristics of the selected objects. The system includes: input unit 1 of the digital image, the input unit 2 system parameters unit 3 sampling and storing the resulting image, the filtering module 4 morphological image, providing the possibility of suppressing objects with the highest values ​​of brightness and predetermined shape retaining border search objects remaining unchanged; unit 5 allocating local minimum image luminance block 6 determine the distance from each pixel of the image to the nearest background pixel unit 7 allocating local maxima image brightness, logic element 8 ', OR', filter unit 9 boundaries noise objects, the control unit 10 determine the morphological gradient image, forming a block mask 11 of the desired boundaries of objects, adapted to the segmentation unit 12 calculates the coordinates of selected objects to form a list of coordinates of pixels detected sites comrade, block 13 calculates the optical and geometric characteristics of the detected objects, and a database (DB) 14 coordinates the optical and geometric characteristics of the identified objects. 1 ri, ZP 3, 6 yl.; Figure 1 is published with the abstract.
机译：本实用新型旨在平滑不均匀的复杂背景，能够根据预定的大小和亮度值在微生物和医学上分配小物体，消除不清晰的物体，分离位置紧密的物体，计算物体的特征。选定的对象。该系统包括：数字图像的输入单元1，输入单元2的系统参数单元3采样并存储所得图像，滤波模块4形态图像，从而提供了抑制亮度最高且预定值最高的物体的可能性保留边界搜索对象的形状保持不变;单元5分配局部最小图像亮度块6确定从图像的每个像素到最近的背景像素的距离。单元7分配局部最大图像亮度，逻辑元件8′或OR′，滤波器单元9对噪声对象进行边界，控制单元10确定形态梯度图像，形成期望的物体边界的块状遮罩11，适合于分割单元12计算所选物体的坐标，以形成检测对象同位像素的坐标列表，块13计算光学和几何特征所检测到的物体，数据库（DB）14协调所识别物体的光学和几何特征。 1 ri，ZP 3，6 yl。图1与摘要一起发布。

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