Halcon水果分类的案例学习classify_citrus_fruits.hdev

最新推荐文章于 2025-06-16 23:02:51 发布

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最新推荐文章于 2025-06-16 23:02:51 发布 · 2.6k 阅读

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#Halcon

本文通过详细解读Halcon的classify_citrus_fruits.hdev案例，深入探讨如何利用Halcon进行水果分类。内容包含个人对代码的理解和注释，旨在帮助读者掌握Halcon图像识别技术。

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放了些个人理解的注释

* This example program shows how to apply a general GMM
* classification to distinguish citrus fruits using the
* features 'area' and 'circularity'. Additionally, the
* 2D feature space for the extracted fruits is visualized.
* 
read_image (Image, 'color/citrus_fruits_01')
get_image_pointer1 (Image, Pointer, Type, Width, Height)
dev_close_window ()
dev_open_window (0, 0, Width, Height, 'white', WindowHandle)
set_display_font (WindowHandle, 12, 'mono', 'true', 'false')
dev_set_draw ('margin')
dev_set_line_width (2)
dev_display (Image)
dev_update_window ('off')
dev_update_pc ('off')
dev_update_var ('off')
* 
FeaturesArea := []               //空数组
FeaturesCircularity := []
ClassName := ['orange','lemon']
* 
* Create a GMM classifier
create_class_gmm (2, 2, 1, 'spherical', 'normalization', 10, 42, GMMHandle) 
             // 前面这俩2是    2个特征，分类数为2

* 
* Add training samples
for I := 1 to 4 by 1    //嵌套的FOR，每一张图片里FOR多个水果
    read_image (Image, 'color/