Research Article
Forest Farm Fire Drone Monitoring System Based on Deep Learning and Unmanned Aerial Vehicle Imagery
(1) | Load Image Img with a variable size PxQxR | | ai, aj, ak: Color Greatness Img = ∑a(i, j, k) | | where | | i: 1 to P | | j: 1 to Q | | k: 1 to R | (2) | Convert Gray Color Code of an input image | | Img: Igc | | where | | ai, j: gray code balance Igc = ∑a(i, j) | | i: 1 to P | | j: 1 to Q | (3) | Image Augmentation | | Image enlargement and renovation: Image size is 3 × 3 | | where | | Regions obtained in Step 2 | (4) | Pixel Edge Finding | (5) | Text Area Finding | | Tr = Igc | | S ⊂ Igc | (6) | MSER Detection Detect Extremal Regions | | S ⊂ Tr ⊂ for all x ∈ S, y ∈ ∂T | | where ∂T is the external area edge. | (7) | Image Edge Finding | | Level the image using an image filter | | Find strength pitch of the image | | Remove low-strength pixels | | Apply threshold to discover the limits | | Eliminate feeble limits and focus on the substantial limits |
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