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METHOD FOR PROCESSING RECOGNIZING PICTURES OF PLURAL OBJECTS

机译:识别多目标图像的方法

摘要

PURPOSE:To improve the overall extracting accuracy of unit number of pictures to be processed by dividing a binalized picture into areas to extract the feature value of each area and to input the feature value of a single object and therefore reducing the data error. CONSTITUTION:The variable density picture data inputted from a video input device 19 is binarized by a binalizing logic 20 based on the threshold value that extracts a resistor 18. Then the binary picture data is divided into process areas by a process area dividing logic 22. The feature value is extracted for each divided process area by a total feature value extracting logic 23. The total number of registers 18 set on a pallet 17 is obtained by a unit number calculating logic 27 based on the total feature value of each area and the individual feature value which are stored in a feature value store memory 24. Thus the number of divided objects are obtained for each area, and the accumulation of errors is reduced for each area. As a result, the objects can be recognized with high accuracy.
机译:目的:通过将二进制图像划分为多个区域以提取每个区域的特征值并输入单个对象的特征值,从而提高要处理的图像个数的整体提取精度,从而减少数据错误。组成:从视频输入设备19输入的可变密度图像数据由二进制化逻辑20基于提取电阻18的阈值进行二进制化。然后,二进制图像数据由处理区域划分逻辑22划分为处理区域。通过总特征值提取逻辑23为每个划分的处理区域提取特征值。设置在托盘17上的寄存器18的总数由单位数计算逻辑27基于每个区域的总特征值和所获得的总特征值来获得。各个特征值被存储在特征值存储存储器24中。因此,对于每个区域获得分割的对象的数量,并且对于每个区域减少了误差的累积。结果,可以高精度地识别物体。

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