![图像处理、分析与机器视觉](https://wfqqreader-1252317822.image.myqcloud.com/cover/860/23400860/b_23400860.jpg)
作者介绍
杨高科
现就职于加拿大THALES公司,曾先后在SIEMENS、ALCATEL-LUCENT上海贝尔从事系统设计工作,并主持和管理过多个大型自动控制项目的部署实施,是国内较早使用LabVIEW进行虚拟仪器和机器视觉系统开发的工程人员之一,著有《LabVIEW虚拟仪器项目开发与管理》一书。
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P2_3718.jpg?sign=1739349739-fzR5h0Cbj2g06C21RiT5vgaIa3xyFWVJ-0-b5be0cd67e89c2530d0015ac89a20d2e)
图3-14 HSL色彩模型
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P2_3721.jpg?sign=1739349739-ROqrULsc23tbccFTujGw7qve1rPwN7Pk-0-13503cb67f750895b6e17ff04dcee5f7)
图4-38 位置固定的ROI
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P2_3724.jpg?sign=1739349739-00QxMCvRCqC72Cegn83F8cwH2XblHA3m-0-967ab02ee30d73808793c781edbf1099)
图4-39 位置随坐标变化的ROI
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P3_3727.jpg?sign=1739349739-dWeGenVH0BakaIuUgxTAHYbesnebdZHF-0-42f53d405cd618c458d752217cf88edb)
图4-45 提取图像中ROI对应的区域
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P3_3730.jpg?sign=1739349739-XKbtEkkF4paXPzpkmUyFT8DFK0sr2Kak-0-033cbdd0d4310f702e1fb4539dfb3aae)
图6-11 透视畸变的标定实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P4_3733.jpg?sign=1739349739-FvVvVhOVTWXTfdWLQtEcIcIddsBiZvc6-0-a7f1f82d3517f3b9d5faf8faa8459494)
图6-12 透视畸变的矫正及坐标系示例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P4_3736.jpg?sign=1739349739-qxI5VoLhFeUXUrIrckRPxZvxZT4xUkKF-0-263f28fc411e8c0ead843b91f73954da)
图6-18 为检测过程自动定义参考坐标系
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P4_3739.jpg?sign=1739349739-eVH5UTjZ0j4JYj5hFYQSQ1DV3r3iy35k-0-877cdd7a09b14e717337780afd83d46f)
图7-15 从图像中提取四边形的实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P5_3742.jpg?sign=1739349739-Y41v8QNqlON3K3CiIv3xHLDA8mUc1TIk-0-e22035b90775b55180b2889dca334ee3)
图7-28 位平面分离
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P5_3745.jpg?sign=1739349739-4buEJPVUmtqfrH3GWkD0jAdFsxN8cc4R-0-1e7f150cfb4ee1e2127b369b0bf23e36)
图10-2 傅里叶级数表示任意信号
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图10-33 使用图像遮罩运算进行滤波
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图11-7 使用IMAQ AutoMThreshold进行多目标聚类分割
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P6_3754.jpg?sign=1739349739-sWxxFWMIYtoYFC9u3xw5xAtjRqBm8KSl-0-1a401d535261e11a242594e577ebaee1)
图11-29 使用同心耙和直线拟合检测线边缘
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图11-32 使用NI Vision线检测函数定位线边缘
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图11-33 使用投影检测法定位线边缘
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P8_3763.jpg?sign=1739349739-MSkzlBWGnlq5hJnsS5L4XSSLpul5c8N6-0-e22e1e361cbe0c437b3a2fa24b8bef79)
图11-36 霍夫变换检测直线示例
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图11-37 使用IMAQ Find Circular Edge 3检测圆形边缘
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P9_3769.jpg?sign=1739349739-QuNYWTA2tjRRUlZy5hZVbu4zL13UnjnD-0-e45576a29d1e71b552367b895a444a14)
图11-42 基于目标轮廓的图像分割过程
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P9_3772.jpg?sign=1739349739-bRkzCmwpNL69xO3k6IHIPrubJx5zDvCc-0-e9e04b6be672bc49bf07743443f0020d)
图11-43 基于目标轮廓对图像进行分割的实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P10_3775.jpg?sign=1739349739-rKoSfyGr9GqSANwXek1Z63limdUV9324-0-b03f794fe1d098b7d48bcedf2553fec9)
图12-13 基于标记进行图像分割
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图12-22 凸集与凸壳
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图12-25 骨架操作分类
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图12-26 分水岭分割法的原理
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P11_3787.jpg?sign=1739349739-uXNByfsExZSe22iiXL2eq8btDB8DzegV-0-a37891ad25b49ecc2285fa5aa735c3bf)
图12-28 基于标记的分割方法实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P12_3790.jpg?sign=1739349739-C0BCw0uzxDPeItD4mXF6Y5xkAJgLfn6G-0-5c08a59d7f213275d00565cf5af25024)
图12-29 分水岭算法图像处理效果
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P12_3793.jpg?sign=1739349739-MELsSMCYTlIAeeDV9kU1coOQ7PdrdvLa-0-42b581c2ee9a17bd7ef7ec5d8ae170d5)
图12-30 连续膨胀分割法提取出的颗粒
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P12_3796.jpg?sign=1739349739-NJKldp7YTfB0MkSRbPRKpmftPw2JeF93-0-e768b207fb493fb1dfa2da3e2eb25943)
图12-32 灰度形态学重构实例
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图13-3 颗粒参数计算实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P13_3802.jpg?sign=1739349739-iGfHCVn2yHx5DNjVyeE3ZZWDekx72e2h-0-d03ee3bf06456a3f6bad9c5fa339c08f)
图13-12 工件测量
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图13-26 坐标系设置实例执行结果
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图14-4 牙线检测实例程序及GUI
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图14-5 基于标准样本搜索参考坐标系及测量ROI
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P15_3814.jpg?sign=1739349739-gq4nEVVzzh5Tf0i6ZUTKUnihkqOpZie6-0-fd72b6d76a1f733f180f1bd85b409f39)
图14-7 牙线检测结果示例
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图14-14 基于边缘进行数量统计
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图14-15 双点法确定坐标系
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图14-21 解析法计算角度实例
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图14-23 图像坐标系中检测旋转角度的实例GUI
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P16_3829.jpg?sign=1739349739-YSCj2l2cGzVRQBMaP2STcRmIrHZvhaSk-0-7f61c2ef096ffe359f74caf178ef30b4)
图14-25 IMAQ Rotation Detect实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P17_3832.jpg?sign=1739349739-SQb5chrll470xFTeq5DxgkM3bRgMdybN-0-25b52fab7c20dd3ad99b8c9648cd3f61)
图14-28 根据坐标系确定目标的旋转和移动实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P17_3835.jpg?sign=1739349739-5y3ZlUDDmmFbNXo2nevXDLxGu24kLoFg-0-2c9c17c756656a6b993c22d19963dfef)
图14-38 纹理检测实例
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图14-41 非平稳信号的时频谱
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图14-43 非平稳信号及其小波时频谱实例
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图14-62 BRISK算法的采样模式
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图14-63 FREAK算法的采样模式
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图14-64 角点匹配实例
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图15-20 多模板几何匹配实例程序前面板
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图15-25 投影畸变的影响
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图15-29 黄金模板比较法实例代码和前面板
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图16-4 灌装检测
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图16-6 使用目标边缘建立测量坐标系的实例程序前面板
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图16-7 灌装检测
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图16-9 灌装检测实例程序
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图16-12 Clamp工具测量水平最大距离实例
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图16-13 IMAQ Clamp Max测距实例
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图16-17 IMAQ Line Gauge测距实例
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图16-19 解析几何法实例
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图16-20 机器视觉测量系统实例
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图18-2 HSV的饱和度和明度
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图18-3 色调与饱和度
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图18-4 HSL模型
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P27_3898.jpg?sign=1739349739-KH93YxHBrSM2jwAlAJfIwNZ0GkPoP773-0-3e200c2c780e025683e22a27f6f5667b)
图18-5 CIE-XYZ色彩空间
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图18-11 颜色识别实例
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图18-12 颜色检测实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P28_3907.jpg?sign=1739349739-Fr9K2WTDQMrOInYDz9q8YqvshyomOl1I-0-5a580e6579663bd79ba6f4e7cb447c04)
图18-14 色彩定位用于质量检测
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P29_3910.jpg?sign=1739349739-KZWMMRjVaCTJdqI1avvlcknLE28ExWYq-0-172c7ca6360bdd8da1e7cacbdc66466c)
图18-15 色彩定位对亮度变化的适应性
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P29_3913.jpg?sign=1739349739-0Qc2z2eYnb6mMOJ6myj5jA6Wm4RHEkfY-0-d1cef54cb4cc05b027d167b0309514be)
图18-18 彩色模式匹配实例运行情况
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P29_3916.jpg?sign=1739349739-9wFMhZx0y5g4ERvoqi65l6rrW5O4aKJU-0-0b5ead92fc90f81ea7e51559f68d335b)
图18-20 NI色彩分类训练器
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P30_3919.jpg?sign=1739349739-krHEOR9I6mr5xqnKiJqov5pefabbBCBh-0-7d10df9d4df8bb947150b9fe61cb7587)
图18-22 色彩分类实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P30_3922.jpg?sign=1739349739-k27ipDvg5hnFdqkCcJr3TG5j5lECV4I0-0-e28238c782aa53654f4df0f31c974547)
图18-25 色彩分割实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P31_3925.jpg?sign=1739349739-lNcYqRmOUdZe2XsXm7mz9FilIXFthg7P-0-e168322526760e702f5cfd459546c926)
图18-26 NI色彩分类训练器实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P31_3928.jpg?sign=1739349739-eNL7oLHevmUcabYVG9lUYN2HIM5S9Xd6-0-effa2483729c97001793dc5dfe0cccc8)
图18-27 色彩阈值处理实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P32_3931.jpg?sign=1739349739-UCX6WiBF6pK2W92Yqgau1pMRKtryjLkz-0-e03fa2595b18d3b312c5b9ac09497f05)
图19-4 模拟仪表读数实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P32_3934.jpg?sign=1739349739-yhOxNkkuHuq2GFSy0kb61dOnH2bFzuZ3-0-2dd5c159b990666b56b4ab42e24578d6)
图19-11 一维码读取实例
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P33_3937.jpg?sign=1739349739-iQRNHqhVRpZgneWn3Jg2sJiHeqkw11f0-0-5da842e6195b55a68f00bb46a0c2a853)
图20-2 三维空间与相面的投影关系
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P33_3940.jpg?sign=1739349739-BMqUhUyVeL5c6wtobHG1k5gh1sjcQM99-0-0d98ad9fb48d71132ed856bfa422f7bc)
图20-16 图像调整过程的主要步骤
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P33_3943.jpg?sign=1739349739-wPNrfeFtFOLQM0Vp568hTnwEEckq3fVw-0-8acd9b3b3fc322e8d19bc206882582bc)
图20-17 图像调整过程示意图
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P34_3946.jpg?sign=1739349739-1oeFDYpzZkuduLYTNwO4VRPmsyLikBEw-0-0394e9c368cbb55541bc3dc9789d7ae0)
图20-18 左右图像的视差图
![](https://epubservercos.yuewen.com/A7093E/12023546604525806/epubprivate/OEBPS/Images/Figure-P34_3949.jpg?sign=1739349739-Da1LLqmsovrfI4fhQnYeQuAqOCbu33VJ-0-05a7cff098f0ed8aac346554dacf4769)
图20-27 深度信息显示