基于小波包与大津算法结合的花生种子检测方法
n Edge Detection Alogrithm Based on Wavelet Packet and OTSU
针对花生种子边缘不规则特性,以及传统检测方法受结构元素选取的限制,提出了基于小波包与大津算法结合的花生种子边缘提取方法。通过小波包对花生种子图像分解,选取最优小波包重构的部分,用大津算法检测低频部分边缘,再将各部分边缘图像融合到一起,得到高分辨率的花生种子边缘图像。实验结果表明,本方法能够清晰、准确的提取花生种子的边缘信息。同传统的边缘检测方法相比,本方法具有抑制噪声能力强,边缘提取准确,具有提高花生种子检测精度的效果。
For the edge feature of peanut seeds is irregular, and traditional detection method restricted by structural element. So an edge detection method has been proposed, which based on the wavelet packet and otsu. First of all, the image of peanuts decomposed by using wavelet packet. Then selected the optimal wavelet packet of reconstruction. Using otsu detected the edge of low-frequency part. Then two part edge of image fused together. Getting the edge of image with high resolution. The result of experiment showed that this method could accurately and clearly extract the edge information of peanut seeds. Compared with the traditional edge detecting method. This method detect peanut seeds successful, which can decrease the noise and enhance the edge. Then the precision of detection has been improved.
房国志、孙宏佳
农作物电子技术应用
边缘检测小波包大津算法
Edge detectionWavelet packetOTSU
房国志,孙宏佳.基于小波包与大津算法结合的花生种子检测方法[EB/OL].(2014-01-10)[2025-08-19].http://www.paper.edu.cn/releasepaper/content/201401-498.点此复制
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