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Comparing the image of the same size program null

机译:比较相同大小程序的图像null

摘要

PPROBLEM TO BE SOLVED: To automatically extract change regions of two images at a highly accurate level. PSOLUTION: An amount of seeming regulated movement to be detected as movement on an image 1 is predetermined on a setting section 3. A movement similarity map preparing step S1 prepares a movement similarity map 4 in which movement similarity when an object photographed on the image 1 moves an amount of designated movement is set up as a pair of the maximum value and minimum value at each point. An image similarity map calculating step S2 calculates similarity at respective points corresponding to the images 1 and 2 by the same processing method with the calculation of the step 1, and prepares an image similarity map 5. A movement existence determining step S3 classifies the image similarity into three categories such as a category of similarity, a category of non-similarity, and a category of impossible classification by determining where the image similarity acquired by the step S2 is existed in a range of a threshold in which the maximum value and minimum value acquired by the step S1 is set up as the threshold. PCOPYRIGHT: (C)2007,JPO&INPIT
机译:

要解决的问题:以高精度自动提取两个图像的变化区域。

解决方案:在设置部分3上预先确定要检测为图像1上的运动的看似被调节的运动量。运动相似度图准备步骤S1准备运动相似度图4,其中,当在被摄体上拍摄对象时,运动相似度。图像1移动指定的移动量被设置为在每个点处的一对最大值和最小值。图像相似度图计算步骤S2通过与步骤1的计算相同的处理方法,在与图像1和图像2相对应的各个点处计算相似度,并准备图像相似度图5。运动存在性确定步骤S3对图像相似度进行分类。通过确定在最大值和最小值的阈值范围内存在通过步骤S2获取的图像相似度的位置,将相似度分为三个类别,例如相似度类别,非相似度类别和不可能分类类别。将由步骤S1获取的阈值设置为阈值。

版权:(C)2007,日本特许厅&INPIT

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