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指纹识别实验平台的预处理部分,对指纹图像进行方向场估计、分割后细化,为提取特征做准备,压缩包中有指纹图像,...

于 2022-02-13 发布 文件大小:620.70 kB
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指纹识别实验平台的预处理部分,对指纹图像进行方向场估计、分割后细化,为提取特征做准备,压缩包中有指纹图像,-Experimental platform Fingerprint Preprocessing of fingerprint images in the direction of the market is estimated that after the partition refinement, in order to extract features of so ready, compressed package in fingerprint images,

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  • 2022-03-26 06:48:23下载
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    2022-03-15 17:14:24下载
    积分:1
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    2022-02-03 21:53:03下载
    积分:1
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    2022-01-30 18:50:55下载
    积分:1
  • : As many of the traditional de
    :由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效, 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取, 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性. 在此基础上, 应用 I C A基函数作为滤波器, 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验. 结果表明, 本方法明显优于传统的均值滤波和小波去噪 方法, 为强背景噪声下弱信号的检测提供 了新的途径.-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.
    2022-02-15 19:19:12下载
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    2022-07-08 23:45:39下载
    积分:1
  • Cross
    本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡( CLAHE )方法来削弱作用 噪音,光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result
    2022-06-19 16:56:30下载
    积分:1
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