Atomic Potential Matching: An Evolutionary Target Recognition Approach Based on Edge Features

Versione 9.9.0.0 (11,5 MB) da Li Bai
A new shape matching method that is capable of recognizing more than one right targets
362 download
Aggiornato 15 dic 2015

Visualizza la licenza

% ==============================================================================
% To start the optimization, run the M file named "run_me.m".
% To depict the simulation results, functions "result_illustration.m" and "multi_plotting_process.m" will be useful.
%
% To have a quick look of the optimized results, function "Run_demo.m" will be useful.
% - test_image.bmp should be prepared as the image to be tested.
% - target_contour,bmp contains the target shape.
%
% If there is any question, feel free to contact me via libai@zju.edu.cn or directly, libaioutstanding@163.com
% ==============================================================================

Cita come

Li Bai (2025). Atomic Potential Matching: An Evolutionary Target Recognition Approach Based on Edge Features (https://it.mathworks.com/matlabcentral/fileexchange/54502-atomic-potential-matching-an-evolutionary-target-recognition-approach-based-on-edge-features), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R12
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release
9.9.0.0

The codes are re-written to ease the readers. Two refs. are added as well. This is the final version.

9.1.0.0

A cover figure is added

9.0.0.0