| Title |
A Study on Correlation of Recognition and Space Image's Digital Processing |
| Keywords |
Space Image ; Digital Processing ; Correlation |
| Abstract |
The study, as an early attempt to measure human emotions quantitatively, purposed to examine the emotional volume of recognition for space and shape quantitatively using digital image processing technology, which has been used limitedly as a simple presentation tool. In the study, we analyzed the correlation between the optical intensity of images resulting from contour image processing and suggested spatial images through two stages of statistical correlation analysis. According to the results of the first experiment and analysis, the correlation between the optical intensity of images from contour processing and the volume of recognition of the suggested images was low. The low correlation suggests that the optical intensity of processed images varies within a narrow range, that is, difference in the type of visual information obtainable from the images is small and, as a result, difference in the volume of recognition obtained from actual images is not easily recognized.However, when the 2nd experiment analyzed difference in the optical intensity of processed images, the correlation with the degree of recognition appeared high. This result suggests that, among the types of visual information obtained from images, differences in linear factors can be analyzed to some degree through digital image processing. As research is still in the early stage that analyzes linear factors resulting from difference in optical intensity among the visual information of images, it is concluded that cognitive?dimension results can be derived from various factors extracted through digital analysis. Such results can be used to evaluate formative and spatial plans and approaches on consumers’ spatial composition and shape through visual simulation and to predict residents’ satisfaction with the composition and shape of indoor spaces. What is more, the results of visual simulation and visual image processing can be used as grounds for the quantitative analysis of the composition and shape of indoor spaces. |