Abstract: Aiming at the problem that the fast image feature region detection was affected by noise and scale space, which resulted in low detection accuracy, large delay and unreliable detection results, the author proposed a fast image feature region detection method based on scale invariant feature transformation. Each pixel in the image was weighted and smoothed by weighted kernel function to realize image denoising. On this basis, image feature points were determined by constructing image Gaussian scale space, low contrast pixels and edge pixels were deleted, and image feature points were quickly extracted and the detection of location of feature points was the image feature region. The simulation results show that the method can achieve fast and comprehensive detection of image feature region with high efficiency and precision.

Key words: feature region, noise interference, scale space, image feature, region detection, Gaussian scale space