Gray-scale image based Spiking angular point detection method

The present invention discloses a gray-scale image based Spiking angular point detection method, belongs to the technical field of image processing, and focuses on solving the problems of low precision, complicated operation and relatively slow detection speed in angular point detection in the prior art. A method of detecting image angular point information by using a detection template is invented by mainly using a characteristic of a Spiking neural network, and an angular point of a gray-scale image is determined by using a characteristic that a voltage value of the detection template reaches a minimum when the detection template is at the angular point; and by the method, the angular point of an image can be better detected to extract temporal information and spatial information of the angular point of a gray-scale image. The scenarios where the method is applied are mainly angular point detection of images, person and object target tracking and identification, movement estimation and other scenarios where