An Operating Algorithm Based on DOF Analysis

• Main Authors: Sung-Yu Wu, 吳崧宇
• Other Authors: Tsan-Ming Wu
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/58393508742257017537

碩士 === 中原大學 === 通訊工程碩士學位學程 === 104 === In the field of optical imaging, depth of field (DOF) height is a common indicator utilizing identify image quality. Focal length of shooting, light source position and the size of lens aperture, etc., directly affect the depth of field. In the case of general photography, it is common that images out of focus caused by human factors. This thesis proposes an algorithm based on the identification and calculation of image depth field utilizing variation of unit gradient. In the stage of image analysis, utilizing B-spline algorithm to fix image displacement caused by human factors and select an image with best quality among several images. Utilizing algorithm of image gradient to computed the image after registration and assessed the amount of depth field in a ROI and selected an image with the maximum variation of unit gradient as the final selection. This thesis compared the image DOF in simulation with actual shooting. Standard deviation of the gradient variation in the image recognition process obviously found that less than 0.01mm. In order to apply this technique in all kinds camera lens and microscope to accurate image DOF with a better accuracy. This algorithm can be applied on mobile communication and offered users a better image recognition threshold in the selecting process with expectation.