LINEAR GRAPHIC EXTRACTION DEVICE, LINEAR GRAPHIC EXTRACTION PROGRAM, AND NEURAL NETWORK LEARNING METHOD

摘要

To provide a linear graphic extraction device, a linear graphic extraction program, and a neural network learning method, which are specialized for extraction of a linear graphic such as a crack which occurs in a surface of a structure, and which provide high extraction accuracy.SOLUTION: A determination region setting unit 10 sets a determination region having a predetermined size on a determination target image. A determination region movement unit 14 moves the determination region on the determination target image by a predetermined unit of movement, and each time the determination region is moved by one unit of movement, a partial image is acquired. When an input unit 16 inputs the partial image to a determination unit 18, for the partial image, the determination unit 18 determines, by using a preliminarily learned neural network, whether or not a linear graphic exists in the region of interest on the basis of the position of the linear graphic existing in the determination region, and a display control unit 20 displays the result of determination performed by the determination unit 18.SELECTED DRAWING: Figure 2