| 摘要 |
<P>PROBLEM TO BE SOLVED: To provide a device and method for visual inspection capable of stably, automatically, and efficiently detecting unevenness even when the unevenness with different sizes and shapes are mixed. <P>SOLUTION: A central area mean value calculating part 14 calculates the mean value (the central area mean luminance)of the luminance (the gradation values of each picture element in the imaging data) in the central area corresponding to the object picture elements. A peripheral area 1 mean value calculating part 151-a peripheral area N mean value calculating part 15N calculate the mean values of the grading values (a peripheral area N mean luminance) of each picture element at the peripheral area 1- the peripheral area N corresponding to the central area in the same way. Next, a mean difference calculating part 16 calculates the difference values (the difference value 1- the difference value N) between the mean luminance of the central area and that of the peripheral area 1-peripheral area N. Furthermore, the mean difference value calculating part 16 extracts the representative value (the representative difference value) among the difference values of the difference value 1- the difference value N. In this visual inspection device 1, detection of unevenness is achieved using this representative difference value. <P>COPYRIGHT: (C)2008,JPO&INPIT |
