Image Enhancement Based on Software Filter Optimization for Corrosion Inspection

摘要

This project is focusing on corrosion inspection using image. Inspection which have particularly challenging environmental conditions and characteristics, increase the complexity of the inspection operation. By using software image filter to enhance the image data, it is believe that the object recognition technique will be able to analyze the image data accurately. A few software filters have been identified in this works. Therefore, in order to obtain suitable software image filter, neural network is use for optimization. The simulations result shows corrosion defect image can be enhanced using combination of features based image enhancement filters, with regards the corrosion data is able to acquire for recognition process.