Abstract:
In this report, we have proposed a smoke detection method from image. The Smoke Detection
using Image Processing (SDIP) is based on four steps. First, Smoke image acquisition and
pretreatment is performed. Second, Preprocessing of collected images. Which include converting
RGB to HSV, Binarization, Thresholding, Third, Selecting smokes principals. Fourth, Smoke
detection based on principals considering Saturation, Intensity and Area of the smoke. The
Smoke Detection using Image Processing (SDIP) System is implemented by the MATLAB
simulation. We use 46 images for calculating threshold value and 87 images for the identifying
smoke. We use some statistical equations to calculate threshold value. We compare our result by
trial and error process. We use some graphs to show the result. We also compare some
recommended algorithm with our proposed algorithm.
