The application discloses a
quail egg intelligent detection method and
system based on multi-
source data fusion, and relates to the technical field of
quail egg quality detection. The
quail egg intelligent detection method based on multi-
source data fusion extracts
image texture features and
spectral response features by acquiring visible light images, near-
infrared images and geometric parameter data of quail eggs, analyzes image
equalization indexes and structure transmission indexes respectively, analyzes geometric morphological indexes in combination with morphological parameters, and constructs comprehensive state indexes, thereby determining the quality grade of the quail eggs to be detected. The application extracts image
equalization indexes, structure transmission indexes and geometric morphological indexes by fusing visible light images, near-
infrared images and geometric parameters, constructs comprehensive state indexes, can comprehensively evaluate the quality of quail eggs from multiple dimensions such as appearance,
light transmission and morphology, effectively identifies internal abnormal conditions that are prone to be missed in traditional
image detection, and improves the accuracy of quality grade judgment and the stability of overall detection results.