Mixing and Simplex Search for Optimal Illumination in Machine Vision |
| |
Authors: | HyungTae Kim KyeongYong Cho Kyungchan Jin JooSung Yoon YoungJune Cho |
| |
Affiliation: | 1. Korea Institute of Industrial Technology , Manufacturing System R&2. D Group , CheonAn , Republic of Korea;3. Korea Advanced Institute of Science and Technology , Unmanned Technology Research Center , DaeJeon , Republic of Korea |
| |
Abstract: | Mixed-color illumination affects the quality of images in industrial vision system and it is important to optimize color and intensity for image acquisition. This study used simplex search to find the optimal illumination in a short amount of time. A typical color mixer synthesized various color of lights by changing the inputs of RGB power LEDs and passing the lights through an optical system. The image quality under mixed-color illumination was calculated according to the sharpness. For the purpose of optimal illumination using simplex search, a probe network was organized with N + 1probing points for N inputs. The shape of the probe network, simplex, was varied through procedures of extension, contraction, and shrinkage. The inputs of the color mixer were changed until the size of the simplex became smaller than a threshold. The simplex search was tested for commercial semiconductor patterns, and was useful for finding the optimal illumination. |
| |
Keywords: | automatic optical inspection chromaticity color mixer image sharpness light synthesis optimal illumination simplex search |
|
|