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作 者:郭恒光 李伟 鲁华杰 Guo Hengguang;Li Wei;Lu Huajie(College of Coastal Defense Force,Naval Aeronautical University,Yantai 264001,Shandong,China)
机构地区:[1]海军航空大学岸防兵学院,山东烟台264001
出 处:《计算机应用与软件》2023年第1期253-259,305,共8页Computer Applications and Software
摘 要:针对图像纹理方向检测问题,提出基于方向微分和局部投影积分的纹理方向检测方法。在不同的投影方向上计算图像各像素点的方向微分,并对得到的微分图像进行局部投影积分,得到图像不同角度的微分图像的局部投影积分向量。最后根据各局部投影积分向量的功率谱熵检测纹理方向。实验结果表明,基于分数阶方向微分和局部投影积分的方法,检测纹理方向的准确率和抗噪声能力最优。提出的局部投影积分的方法,能够在一定尺度上对纹理进行观察,提高纹理方向检测的准确度,使检测出的纹理方向更加符合人类的视觉特性。Aiming at the image texture orientation detection, we propose the texture orientation method based on directional derivation and local projection integral. The method calculated the directional derivation of each image pixel at different direction. The local projection integral was applied to the obtained derivation images, and the local projection integral vector of the derivation images was obtained at different direction. The texture orientation was determined according to the power spectrum entropy of the local projection integral vector. The experimental results show that the method that combines fractal order directional derivation and local projection integral can reach the best correct rate and anti-noise ability when detecting the texture orientation. The proposed local projection integral method can observe the texture on a certain scale to increase the correct rate of texture orientation detection, and the texture orientation detected is more in line with the human visual characteristics.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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