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Skin image feature analysis method based on a reflection confocal microscope

ActiveCN120877281BImprove the efficiency of distortion correctionReduce the number of memory accessesAcquiring/recognising microscopic objectsMedical imaging technologySkin lesion
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.
Owner:KERNEL MEDICAL EQUIP CO LTD