The invention discloses a solar panel image processing method based on an adaptive algorithm, and the method comprises the steps: S1, obtaining a solar panel image, and converting the format of the solar panel image into RGB three channels; s2, carrying out image enhancement and grey-scale map conversion; s3, carrying out threshold binarization denoising on the solar panel image subjected to grey-scale map conversion; s4, performing morphological operation on the image; s5, setting contour detection constraint conditions, and performing contour detection to obtain the overall contour of the solar panel; s6, repeating the steps S2-S5 until the obtained contour number of the to-be-segmented region is greater than a preset value, and executing the step S7; s7, carrying out perspective transformation on the overall contour area of the solar panel to a predefined projection plane; and S8, carrying out image segmentation on the overall contour area of the solar panel according to the contourof each to-be-segmented area, and carrying out image zooming to obtain an image segmentation result. According to the method, efficient denoising during image segmentation is realized, and the methodhas relatively high expansibility and threshold adaptive effect stability.