| 形态学高帽变换与低帽变换功能扩展及应用 |
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| 引用本文： | 朱士虎.形态学高帽变换与低帽变换功能扩展及应用[J].计算机工程与应用,2011,47(34):190-192. |
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| 作者姓名： | 朱士虎 |
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| 作者单位： | 徐州师范大学 物理与电子工程学院，江苏 徐州 221116 |
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| 基金项目： | 江苏省高校自然科学研究计划资助(No.08KJB140010); 徐州师范大学自然科学基金(No.09XLA04) |
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| 摘 要： | 数学形态学广泛应用于图像处理和模式识别领域。对形态学高帽变换与低帽变换功能进行扩展，提出了假高帽变换的概念和低帽变换的新方法。用形态学滤波对原始图像进行平滑处理，由形态学膨胀运算调整结构元素尺度，依据检测图像边缘熵确定权值进行融合。改进了传统形态学边缘检测算法，改善了亮背景上暗物体的边缘提取，对数字图像进行处理，满足了实际需求。实验结果表明，该算法能有效抑制噪声，且边缘清晰准确，效果优于经典的边缘检测算法。
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| 关 键 词： | 形态学 边缘检测 功能扩展 信息熵 图像融合 |
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Function extension and application of morphological top-hat transformation and bottom-hat transformation |
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| ZHU Shihu.Function extension and application of morphological top-hat transformation and bottom-hat transformation[J].Computer Engineering and Applications,2011,47(34):190-192. |
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| Authors: | ZHU Shihu |
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| Affiliation: | School of Physics & Electronic Engineering，Xuzhou Normal University，Xuzhou，Jiangsu 221116，China |
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| Abstract: | Mathematical morphology is widely applied in image processing and pattern recognition.This paper proposes pseudo top-hat transformation and new bottom-hat transformation.The original image is filtered using open-and-close operation.The scale of structure elements can be determined by dilation operation.A new edge image with a better quality fused by their entropy can effectively be extracted using proposed ways.Experimental results indicate that the algorithm can effectively suppress noise and improve dim edge detection;the edges are clear and accurate.So the new edge detection method achieves better image processing effect than classical edge detection methods. |
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| Keywords: | morphology edge detection function extension information entropy image fusion
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