Automatic finding of optimal image processing for extracting concrete image cracks using features ACTIT

作者：Bai Haiying; Yata Noriko; Nagao Tomoharu^*

来源：IEEJ Transactions on Electrical and Electronic Engineering, 2012, 7(3): 308-315.

DOI：10.1002/tee.21732

• image processing
• evolutionary computing
• genetic programming
• cracks
• concrete image

In this paper, we autonomously define an optimal, efficient image-processing tree for extracting the cracks from concrete images using genetic programming (GP)-oriented evolutionary image processing known as Automatic Construction of Tree-structural Image Transformation (ACTIT). We propose the use of automatic finding feature from input and internal transformation images to optimize image-processing filters. These alternative solutions show significant improvements and can be performed by extracting small areas through our experimentation. This can possibly be used with an optimal image-processing system based on feature filters.

• 出版日期2012-5