Bird-based high-frame-frequency sequence image abundance statistics and population identification algorithm

The invention provides a high-frame-frequency sequence image bird abundance statistical algorithm based on a genetic algorithm KSW double-threshold segmentation algorithm fused with a distance transformation algorithm and a comprehensive algorithm of a high-frame-frequency sequence image bird population recognition algorithm based on a bird typical static feature data extraction fused machine learning algorithm. According to the method, the advantages of multiple algorithms are combined, a high-frame-frequency sequence image is used as a research object, the motion trail of a flying bird is predicted through the position change of two adjacent frames of motion targets, an effective research target is extracted, and the skeleton of the target is extracted through distance transformation operation, the adhesion shielding area in the target is separated through morphological processing, the abundance of the high-density bird flock is accurately counted, the problem that the abundance of the target with changeabl