Abstract
In recent years, opportunities of taking photographs have been increasing owing to the popularization of digital cameras, smart phones, and SNSs that we can post photos easily. Because of the convenience of taking photos using digital cameras, we often take many photos of the same object. However, it is difficult to select the best photo when the number of photos is large. Therefore, in this study, we propose a method to select the best photo from a group of photos of the same object. In the proposed method, first, a candidate region of the photographic subject is extracted by image segmentation based on color reduction processing. Next, the sharpness of the photographic subject region is calculated to each photo in the group, and the best photo is selected by comparing the values of the sharpness. The results of evaluation experiments conducted on multiple groups of photos of the same object show that the proposed method is useful to select the best photo.
