The invention relates to an
image processing method and device for an intelligent camera, and the method comprises the following steps: carrying out the pixel distribution statistics of an original image collected by the intelligent camera, obtaining a brightness
histogram, carrying out the segmentation division of the brightness
histogram, and obtaining a plurality of brightness intervals; performing contour extraction on the original
image based on the plurality of brightness intervals to obtain an edge contour map; determining a category
label based on the edge contour map, and performing
semantic annotation on the edge contour map based on the category
label to obtain a
semantic annotation result; performing
color mapping on the original
image based on the
semantic annotation result to obtain an enhanced image; and carrying out quality evaluation on the enhanced image, and if the
evaluation result does not reach the preset threshold, carrying out
color mapping on the enhanced image again based on the
evaluation result until the enhanced image reaches the preset threshold requirement, thereby solving the technical problems of
low contrast, fuzzy details and color
distortion of the original image collected by the intelligent camera.