Monocular image depth information estimation method based on contour acuity

The invention provides a monocular image depth information estimation method based on contour acuity. The method uses edge contour acuity as a fuzzy information estimation characteristic, and through low-level cue information, depth information extraction is carried out. Edge detection is firstly carried out on the image; edge energy and contour acuity are calculated for the edge in the image, the edge energy and the contour acuity serve as outer energy of the contour, inner energy, contour line characteristic energy and contour line distance energy, of the contour is combined to build a contour tracking model, the minimal value of an energy function is solved, and an image contour is searched; then, depth gradient hypothesis serves as a priori assumed gradient model, depth value filling is carried out on an area with different contour lines, and depth distribution is obtained through calculation; and finally, the original image information and the obtained depth image information are used for optimization on the obtained depth image, and a final disparity map is obtained. As is proved by an experimental result, the depth estimation algorithm is simple, and the depth image for the monocular image can be quickly and accurately estimated.