Feature Extraction from Flame Images

To perform comprehensive analysis of flame images, we can extract the following features:

- Flame flicker frequency: By analyzing the flicker frequency of flames, we can understand the combustion state and activity level of the fire. Implementation typically involves temporal analysis of pixel intensity variations using Fast Fourier Transform (FFT) or wavelet transform algorithms applied to sequential flame images.

- Flame region area: By measuring the area of the flame region, we can assess the size and intensity of the fire. This can be achieved through image segmentation techniques such as thresholding, region growing, or edge detection algorithms to isolate the flame region from the background.

- Flame combustion region cropping: By cropping the combustion region of the flame, we can observe the flame's shape and structure more clearly. This process involves defining region of interest (ROI) coordinates and using image processing functions to extract specific flame areas for detailed analysis.

Beyond the features mentioned above, additional flame image attributes can be further explored to obtain more comprehensive information about the fire characteristics. Potential extensions include color temperature analysis, flame contour analysis, and spatial distribution patterns using advanced computer vision techniques.