No abstract

This study's main intention is to propose the best-fit line detection, Region of Interest (ROI) detection and precision measuring method by using an object with an irregular edge in a high precision optical image. In general, an object with a smooth edge will actually display a very irregular and uneven gray scale distribution after being imaged by a high precision optical instrument, which may lead to a big problem if it is used in precision detection and measurement. Therefore, in this study we will individually propose the best-fit line detection, ROI detection conversion and the precision measuring method for irregular edges. The best-fit line detection is to propose two different best-fit line detection modes without affecting the computing time. The ROI detection method is to detect the region of most interest to the user and then to convert the regional line into a full-field image. For precision measurement, in this study we will propose a method for calculating the distance from the line to the edge and the distance between lines to achieve the measuring purpose.