The present application belongs to the field of image feature analysis, and specifically refers to a
skin image feature
analysis method based on a reflective
confocal microscope, which comprises
distortion correction, image preprocessing and global
perception. Through GPU accelerated
lookup table encoding and decoding technology, the efficiency of
distortion correction is significantly improved, the number of memory access is reduced, real-time and efficient
image processing is realized, the quality of the
skin medical image is improved in combination with
medical imaging technology, which has great significance for clinical application; in combination with
feature extraction, matching and
global optimization technology, a high-precision global
skin image is obtained and updated, effectively solving the
geometric distortion problem caused by probe
jitter or inter-frame alignment error, and being able to adapt to the
instability of artificial handheld operation, generating a global skin image in single-point imaging of a shaking
skin lesion position, and ensuring the continuity and consistency of
image acquisition.