Intensity Average Value of Image Segmentation for Infrared Image of Environmental Condition

摘要

In this paper, we make a report our research about intensity average value of image segmentation for infrared image of air pollution. Infrared image of environmental condition (captured sequentially every two hours, from 06:00-16:00) processed using wavelet transform. After that processed, used image segmentation to get intensity average value distribution from 0 till 255 to obtain trending graphic of pollution. Infrared image divided into 4, 8, and 16 segments. The result of this research is the increasing air pollution characterized at 12:00 and 16:00, by increasing intensity average value from 13%-27%. Finally intensity average value of image segmentation was made to estimate the environmental condition, especially air pollution, based on infrared image.