Practical applications of the brightness approximation plane method with a simple parameter

When processing an image that contains complex intensity changes, it is generally difficult to select an appropriate processing technique and to determine suitable weighted coefficients for a specific purpose since such choices require an advanced level of understanding and experience of image processing technology. To overcome these problems that occur in actual applications, we have attempted to simplify the parameter setting for detecting complex intensity changes by using the brightness approximation plane method that is capable of detecting a wide range of intensity changes by adjusting the sizes of its parameters. This paper describes the advantages of applying this simplification to applications in real environments. In addition, we verified the effect of changing the section size on the ability of the method to detect intensity changes and how this detection ability was affected by using a one-parameter filter compared with using a conventional differential filter ; this was done by estimating the acceptable range for intensity gradients and the robustness to capture noise. The experimental results for detection ability and robustness demonstrated that the proposed method has considerable potential to be used on-site in practical applications.