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Experimental results show that the proposed method in this paper has better recognizing effect when dealing with depigmentizing, dirt, split, blurry and uniform-illuminated Number and Letter characters.
中文意思:
实验结果表明,该方法对车牌字符褪色、污迹、断裂、模糊、光照不均等质量退化车牌图像具有较好的识别效果。


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Experimental results show our algorithm is strong enough to resist common image processing and geometric distortions. 实验结果表明,此算法对一般的图像处理和几何攻击具有较强的鲁棒性。
Experimental results show that the algorithm can globally optimize the image registration parameters, smooth the image with moving objects, reduce artificial disfigurement, and enhance photo realistic aspect of video panorama. 实验结果表明,该算法优化了图像间的配准系数,平滑处理了拼接后的图像,减少了人工性缺陷,提高了视频全景图的真实感。
Experimental results show that the method can enhance, sharpen, and denoise images. 实验结果表明:该方法可以有效地实现对比度增强、噪声抑制和边缘保护。
Experimental results show that the new scheme has smaller computation but has no recognition rate impairments as compared with the global searching algorithm. 结果表明,该算法相对于全搜索算法而言,计算量小而又不降低识别率。
Experimental results show that the proposed method can reduce the computational complexity significantly compared with the full search method, and maintain similar decode visual quality and coding bit rate, then improve the ray-space data coding efficienc 实验结果表明,与全搜索方法相比,该方法计算复杂度明显降低,同时保持了近似的解码图像质量和编码码率,进一步提高光线空间数据的编码效率。
Experimental results show that the proposed method in this paper has better recognizing effect when dealing with depigmentizing, dirt, split, blurry and uniform-illuminated Number and Letter characters. 实验结果表明,该方法对车牌字符褪色、污迹、断裂、模糊、光照不均等质量退化车牌图像具有较好的识别效果。
Experimental results show that the scheme is feasible and effective for walnut insect pests and diseases diagnosis. 并用实际例子说明该模型的可行性和有效性。
Experimental results show that the system can realize good focus in a wider range of illuminance. 实验结果表明,在较宽范围的光照度条件下,应用该系统均能获得良好的调焦效果。
Experimental results show that the technique has stronger robustness, better security, dependability and feasibility. 实验表明,该方法鲁棒性较强,安全性良好,具有可靠性和可行性。
Experimental results show that this EP-trained MLP model can generate a chaotic series, whose attractor can be reconstructed better than that generated by the BP-trained MLP model and which generates many chaotic sequences by changing weights of this MLPs 计算机仿真结果表明:该模型比BP算法训练的神经网络模型能更好地重构混沌吸引子,调整网络权值即可产生多种混沌序列。
Experimental results show that this four step pretreatment method can eliminate image noise and reduce brightness difference effectively. 实验结果表明,此方法可以有效地去除图像的噪声,平衡立体图对间的亮度差异。
 
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