For the traditional detection methods

there is a serious problem of noise

which leads to inaccurate results. The rapid detection method of ARM-Linux image feature points based on machine vision

the first shooting target image by using machine vision technology

through the ARM-Linux system to carry on the analysis of the feature points extraction

wavelet denoising and further processing of the image information; then according to the results of the image processing to establish the Facet model

calculation of feature points for image two order directional derivative

image acquisition the feature points of two order directional derivative minimum value is less than zero pixels as image feature extraction

based on the maximum value of the normalized image and local non maxima suppression to complete rapid detection of image feature points. The experimental results show that the proposed method can reduce the detection cost of image feature points

reduce the noise influence and has strong stability

wide applicability and high security.