| 1. | A fast edge detection algorithm for noisy images
一种抗噪快速边缘检测算法 |
| 2. | Fast algorithm for simulated annealing applied to registering of noisy images
快速模拟退火算法用于噪声图像配准 |
| 3. | Some image processing operations , like sharpening , make quality of noisy images even worse
处理操作的一些图像,喜欢尖锐,用吵杂图像做成质量平滑的更坏事。 |
| 4. | For noisy images , or images without proper calibration , you may want to increase the value to avoid spurious detections
对于噪点比较多或未经过适当定标的图片，你需要适当将此值设置高一点用来避免错误的目标识别。 |
| 5. | Better segmentation results are acquired when combined it with laws energy in texture images and noisy images
本文将改进的盒子维数和laws能量相结合，对纹理图像和含噪声的图像进行了仿真实验，取得了较好的分割效果。 |
| 6. | To deblur edges after image magnification , an edge sharpness presering noisy image magnification simultaneously denoising effectiely is put forward , which adopts the idea of total ariation model , after haing reiewing the character of a typical edge
针对图像放大后出现边缘模糊的现象,该文考察了典型边缘的特征,利用整体变分思想,提出了一种基于变分模型的有噪图像放大算法。 |
| 7. | The conventional methods of edge detection have good effect on clear image , but are sensitive to noise . though mallat used multiresolution wavelet to detect edge of noisy images , it was not effective for much noisy image
传统的检测方法对清晰图像的边缘检测效果很好，但对噪声相对敏感，尽管mallat用多尺度小波变换来压制噪声，可是对于有大量噪声的图像，边缘检测效果并不好。 |
| 8. | This dissertation suggests scheme of image denoising based on two - dimensional discrete wavelet transform . the denoising algorithm is described with some operators . by thresholding the wavelet transform coefficients - of noisy images , the original image can be reconstructed correctly
通过对小波变换系数进行阈值处理，给出了一种基于二维离散小波变换的图像去噪方法并用算子的形式加以描述。 |
| 9. | Preprocessing of smoothing often brings about blurred image . in this paper , we add linear masks to the minutia preserving smoot - hing algorithm which based on solving a nonlinear diffusion equation . compared with other existing methods , this improved algorithm has better performance preprocessing of noisy images
一般的平滑算法往往因过度平滑使得图像细节特征模糊,针对这一情况,在传统的基于偏微分方程的算法中,加入对大曲率边界点进行线性模板匹配的改进,对比现存的保边界平滑算法,实验结果表明,改进的算法优于其他算法。 |
| 10. | Because the police fingerprint database is very large and the fingerprint image is often noisy , we paid more efforts on extraction of singular point from the noisy image and improve the fingerprint classification speed . we have obtained some result in the following research areas : 1 ) fingerprint extraction . we extract fingerprint image by two steps : coarse extraction and fine extraction
针对公安指纹数据库样本数量多（一般都在万枚以上） ，指纹图象质量相对比较差的特点，我们把研究重点放在从差质量的指纹图中准确可靠地提取奇异点特征以及提高分类速度上，并在以下几个方面取得了一定的研究成果： 1 ）指纹分割。 |
