OTSU opencv

OTSU opencv是一种通过统计图像直方图信息来自动确定阈值T，从而实现图像二值化的方法。它被称为大津法（Otsu），能够自动区分图像的前景和背景。在使用OTSU opencv时，首先要遍历图像的每个像素值，然后在每个像素值范围内计算前景像素的平均灰度和前景部分像素点数所占比例，同时计算背景像素的平均灰度和背景部分像素点数所占比例。最后，根据这些统计结果来确定最优的阈值T，将图像进行二值化处理。通过OTSU opencv算法，可以实现自动化的图像分割和二值化处理。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [OpenCV——Otsu二值化](https://blog.csdn.net/qq_36686437/article/details/120682663)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [opencv之大津法Otsu介绍](https://blog.csdn.net/qq_29540745/article/details/73038357)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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