Spatial Frequency Combined Image Enhancement Algorithm Based on Canny Edge Detection
In response to the widespread application of Doppler maps in radar signal processing,but facing the issue of low accuracy in complex situations,this paper proposes a Canny edge detection-based spatial-frequency combined image enhancement algorithm.This method first utilizes an existing dataset to perform spatial-frequency combined processing on the original images using histogram equalization and homomorphic filtering.Then,it applies the Canny edge detection oper-ation aiming to enhance spectral information.Finally,the KNN(K-Nearest Neighbors)algorithm is employed for the recogni-tion and classification of the spectral maps.The experimental results indicate that the proposed algorithm can effectively im-prove the recognition accuracy of six types of actions,such as jumping and running,to 94%.This validates the feasibility of the proposed method for processing spectral maps and performing classification.
万方数据
维普
