The application relates to the technical field of
image processing, in particular to an intelligent detection
system for wheat ear diseases and
insect pests in a field. The
system comprises: an
image acquisition module: acquiring a wheat ear image in a field; an illumination analysis module: constructing an illumination
influence coefficient of each pixel point based on the brightness value distribution in the neighborhood pixel block of the pixel point; a gray scale analysis module: determining a feature
influence coefficient of each pixel point in the neighborhood pixel block based on the gray scale value distribution in the neighborhood of the pixel point; an
image enhancement module: adaptively adjusting a preset basic attenuation parameter based on the feature
influence coefficient and the illumination influence coefficient, combining a non-local mean filtering
algorithm, and performing
image enhancement on the wheat ear image; a
disease and
insect pest detection module: detecting diseases and
insect pests of the wheat ear through the enhanced image; when denoising, the details of the
disease and
insect pest area are retained and effectively denoised, and the accuracy of subsequent detection of diseases and insect pests of the wheat ear in the field is improved.