There are many such practical cases that it is difficult to detect defects even by a visual inspection. These defects, such as very small cracks of pattern and thin stains, etc., are slightly different with each other and hidden in the background texture. Even when the skilled inspector can detect these defects, they are undetectable by the traditional image processing algorithms. This paper describes the detailed program for detecting irregular region involving such invisible defects inspired by human vision architectures. This program has been named “KIZUKI” algorithm in this study. Two kinds of typical vision theories are used to model the “KIZUKI” process : the peripheral vision and the involuntary eye micro-vibration theories found in the field of psychology of vision. It consists of three steps : first step for forming low resolution images by a variable re-sampling, and the second step for detecting relatively salient regions at each low resolution image, and the last step for integrating these regions. Experimental results indicate that our approach is very reasonable in intuitive interpretation of human vision. Since our programs are very simple in architecture and effective in performance, it might be applicable equally to the quite different kinds of defects.