![图像处理中的数学修炼(第2版)](https://wfqqreader-1252317822.image.myqcloud.com/cover/451/34061451/b_34061451.jpg)
上QQ阅读APP看书,第一时间看更新
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P1_60.jpg?sign=1739276445-UfDjyhtdhINryYSU8SsDkM9j0V2441Sk-0-381166e7d608ec19744f2de76104031c)
图11-5 常见色彩的光源能量分布图
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P2_63.jpg?sign=1739276445-N3plcC9zBYLCKJeL1QGWxPU6scVrHiUW-0-8aaa5e5d8e80106bc7e630603e553e0f)
图11-14 RGB分量提取示意图
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P2_66.jpg?sign=1739276445-7IaNHEVoEsHB9AZHvteYWmzudCsVUHJz-0-979d7e9da7af80bb996554e732e91b2f)
图11-15 RGB分量提取统计图
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P3_69.jpg?sign=1739276445-DsUTflq4cfdyK6v2vZFMrMtMbrmrH95C-0-a3244f6402fa42ff79dd76efacb8078f)
图11-16 光的三原色及其补色示例
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P3_72.jpg?sign=1739276445-XEi0lwOPwOXaQajaVIvalgODiFT4SJia-0-4698d0fa1e0634c817c8df8412ef5425)
图11-17 HSV色彩空间模型
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P3_75.jpg?sign=1739276445-0WRkDjhEVrR9QUPy1nFg7JwzaeVakz7w-0-99c79abeccf2f66d9857a427103bc30c)
图11-18 HSV色彩分量提取示意图
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P4_78.jpg?sign=1739276445-O7HX9dzxA926MnAmixp32nd5hPBw0dE4-0-715ba5f2d9ab89234ca5d7ca61ad319e)
图11-19 基于三角形的HSI色彩空间模型
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P4_81.jpg?sign=1739276445-Fpzn7yM0qWfKT9BIWhShmoVF1lnNr7yG-0-42d9f9e535c11bec80a7e3e1f9e09534)
图11-20 基于圆形的HSI色彩空间模型
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P5_84.jpg?sign=1739276445-NfkhaOmtMmQvhwnrPA2qRKrNaOv3VWLf-0-ee0ad53d23c3e0aa006cccac07b21e10)
图11-25 实验用标准图
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P5_87.jpg?sign=1739276445-ZQm7uplQ9z4dwPDC8icaAHBrjfp8LuHF-0-4f86322bb345e33c60b9b3c825c7e9e6)
图11-26 彩色图像的直方图均衡化
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P6_90.jpg?sign=1739276445-kQgyk6N0tN7D3eOFh3PtLYrCOP6kaQzY-0-aa302e6c96a7f9557d814053251502cd)
图11-27 待处理图像
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P6_93.jpg?sign=1739276445-BLxAADy6wTw9LWZN22rIORfFrJubBYtX-0-4b7189b766d2078c12bc5cd2b31039d5)
图11-28 彩色图像的CLAHE处理效果1
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P6_96.jpg?sign=1739276445-ZPASsGI4VCmddjIHMaI7lyhuRT7q4tpL-0-295e75e83928eee32a923006882254ed)
图11-29 彩色图像的CLAHE处理效果2
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P7_99.jpg?sign=1739276445-lHHhC2fKMgTxMy3YPsvA51RPobRxlUvc-0-1bf32e8b9db26846b1d32db122d8b8a8)
图12-1 正常图像的暗通道
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P7_102.jpg?sign=1739276445-dWPXmKt4jmO2CBXAZU3YRlvQRuo5mjGs-0-21239c80346607acdec4faf14c86d1c0)
图12-2 有雾图像的暗通道
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P8_105.jpg?sign=1739276445-tpAmcW3x6zwnmNZWsNnLDZbsZb7APi62-0-f96aa5a896c4cb991b1ec0efc66c9312)
图12-3 图像去雾效果
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P8_108.jpg?sign=1739276445-UrJioPUpvDRyWtfePzuuE96yLyYxkJf2-0-cc7e3b945e64b36f36b058ba84b580f6)
图12-4 基于导向滤波的处理结果
![](https://epubservercos.yuewen.com/7AE2D9/18225431908786506/epubprivate/OEBPS/Images/Figure-P8_111.jpg?sign=1739276445-6BrqjV3ZzSm5jCz9HmWu6oqxlhk3FQDz-0-2b46d2fba8e60ae45553d8d4f4f54fec)
图12-5 基于暗通道的图像去雾效果