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    • 2. 发明申请
    • METHOD FOR SETTING EDGE BLUR FOR EDGE MODELING
    • US20190236787A1
    • 2019-08-01
    • US16341765
    • 2017-10-13
    • Kyungpook National University Industry-Academic Cooperation Foundation
    • Su Young SEO
    • G06T7/13G06T5/00G06T7/194H04N5/235
    • G06T7/13G06T5/002G06T5/009G06T7/00G06T7/149G06T7/155G06T7/194G06T7/40G06T7/90H04N5/2354
    • Provided is a method for setting an edge blur according to a brightness value including a first step for providing a plurality of target sheets on each of which a reference pattern for detecting a reference line and a grid pattern for detecting an edge position are provided, and in which changes in brightness values included in the grid patterns are different from each other, a second step for capturing images of the target sheets to obtain target sheet images, a third step for analyzing a reference pattern for each corresponding target sheet to estimate the reference line, and analyzing the grid pattern to extract an edge profile provided in the grid pattern, a fourth step for calculating a gradient of a brightness difference between adjacent pixels on the basis of the edge profile, and acquiring a background edge blur parameter and a foreground edge blur parameter on the basis of the gradient according to brightness contrast present in the image, and a fifth step for generating background edge blur prediction information and foreground edge blur prediction information for each pixel value, which respectively correspond to brightness values on a basis of distributions of the background edge blur parameter and the foreground edge blur parameter.According to the present invention, a resolution pattern of a camera is accurately understood according to a contrast by predicting two edge parameters according to a brightness value, and a more accurate edge position having sub-pixel level precision can be determined through an edge blur having the predicted edge parameters, and thus, there is an effect of accurately and swiftly recognizing the edge position in camera resolution analysis, geographic information construction, autonomous mobile robot, or the like.