The invention discloses a hyperspectral-analysis-based
copper quality detection method, which comprises the following steps of: (1) constructing a characteristic
image cube of a
copper material to be detected; (2) extracting contents and spectral information of ingredients of the
copper material to be detected from the characteristic
image cube; and (3) evaluating the quality of the copper material to be detected. According to the method disclosed by the invention, the concept of the characteristic
image cube is introduced based on the traditional
hyperspectral image processing technology, meanwhile, the image characteristics and the spectral characteristics of the copper material to be detected are acquired, and the copper material is subjected to characteristic extraction and quality detection by using a fused PSO-nsNMF (
Particle Swarm Optimization-based non-smooth
Nonnegative Matrix Factorization)
algorithm, therefore, the accuracy in the detection of copper quality is ensured. Theinvention further discloses a hyperspectral-analysis-based copper quality detection
system which comprises a
hyperspectral imaging unit and an
image processing unit; the hyperspectral-analysis-based copper quality detection
system disclosed by the invention is used for carrying out real-time online acquisition and
data processing on an image of a copper sample by utilizing a computer and combining with a
hyperspectral imaging instrument, therefore, the timeliness in the detection of copper quality is ensured.