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- palmprint image enhancement 掌纹图像增强
- Experiment result proves that the method is a useful image enhancement method. 实验结果表明,该方法是一种有效的图像增强方法。
- Denoising of palmprint image is the first stage of computer-aided identity recognition based on palmprint. 摘要掌纹图像去噪是基于掌纹的身份鉴别技术的第一步。
- The experimental results on two palmprint image databases demonstrate the effectiveness of the proposed method. 最后通过实验在两个公开的掌纹数据库证明了这种算法的有效性。
- A novel palmprint image denoising algorithm based on wavelet transform is proposed in this paper, and validity of the algorithm is verified by experiment. 本文提出了一种新的基于小波变换的掌纹图像去噪算法,并通过实验验证了此算法对掌纹图像去噪的有效性。
- Under regular illumination, the texture and skin color of different position within a palmprint image will lead to differentiable grayscale distribution. 在一定光照条件下,掌部不同位置的主线、皱纹和表层皮肤颜色的深浅在灰度图像上各自对应了不同的灰度级。
- In this paper, we proposed a method of wavelet image enhancement based on modulus square processing to achieve a better visual effect. 为了更好地保证图像的整体增强效果,该文提出一种基于模平方处理的小波图像增强方法。
- A method of image enhancement denoising is descibed based on wavelet transform and threshold shrinkage. 摘要提出了一种基于小波变换与阀值收缩法的图像增强去噪方法。
- Focused on the wavelet analysis in image enhancement, noise reduction, compression and fusion. 重点论述了小波分析在图像增强、降噪、压缩和融合中的应用。
- Histogram modifications and the forward and backward (FAB) diffusion processes are combined for the image enhancement. 在此基础上,通过对图像的梯度信息和直方图信息的合理组合,提出了基于全局信息的图像增强组合方法。
- It indicates from the theoretical and experimental results that image enhancement by PDEs is an effective tool. 理论和实验结果表明,应用偏微分方程模型进行图像处理是一种有效的工具。
- In order to improve further the effect of image enhancement and to reduce the computational complexity,this pape... 实验结果表明,该方法在图像增强效果和时间复杂性方面均优于传统方法和张东波等提出的方法。
- The proposed method has been tested on a number of palmprint images and has given promising results. 利用这种快速简单的基于方向投影的方法对大量的掌纹图进行测试,其中95%25的基准点能被精确检测。
- The traditional algorithms for image enhancement have the shortcoming of noise over-enhancement. 摘要传统的图像增强算法存在噪声过增强的问题。
- It comprises de-interlacing, frame rate up-conversion, scaling and many image enhancement processes. 主要处理过程包含去隔行、帧频提升、分辨率提升,及各种画质增强。
- This paper focuses on the region of interest (ROI) extraction of online palmprint images which involve transition and rotation. 摘要 论文重点研究具有一定自由度在线掌纹图象的感兴趣区域提取算法。
- At last, the assessment method of the degression of image enhancement algorithm on image noise is proposed. 而经过5帧平均算法后的图像质量明显改善,对比度增加。
- Fingerprint Preprocess includes Fingerprint Foreground Extraction, Image Enhancement and Thinning. 预处理部分涉及到指纹有效区域的提取、指纹图的增强和指纹细化。
- A image enhancement algorithm based on the weighted neighborhood averaging and the edge detection was suggested. 摘要设计了基于领域加权平均和边缘检测的视频图像增强算法。
- A parallel multiplex order morphological transformation-based algorithm was used for infrared image enhancement, edge sharpening and filtering. 采用并行复合顺序形态滤波算法对图像边缘进行增强和锐化并抑制高频噪声;