| 1. | Public watermarking algorithm of gray - level still images combining dwt and dct
小波和余弦变换相结合的灰度图像水印算法 |
| 2. | There are so many differences between binary images and the gray - level or color images
二值图像只有黑白两种颜色，该类图像的信息隐藏不同于灰度及彩色图像。 |
| 3. | Therefore , there will be more challenge to realization fast recognising and tracing in chromatic image than in gray - level image
由于彩色图像的信息量大，它比黑白图像目标的识别和跟踪问题具有更大的挑战性。 |
| 4. | In the end of the paper , the method is tested on 80 gray - level images and 44 color images which are selected from the stirling image database
在最后，本文应用striling数据库中的80幅灰度图像和44幅彩色图像对本方法进行了测试。 |
| 5. | On this basis , the four numerical features identifying the content of image are raised from gray - level co - occurrence matrix of the image
在此基础上，利用图像的灰度共生矩阵，统计出反应纹理一致性、纹理对比、纹理的熵和纹理相关性的数量值。 |
| 6. | The algorithms of image processing , including pixel gray - level detection , intensity transform , noise smoothness and image sharpen are discussed in detail
本文详细的研究了图像处理的算法，实现了像素灰度提取、灰度变换、图像平滑、图像锐化等算法。 |
| 7. | Color image is the best approach to the world , as there are more advantages in color image processing than in gray - level image
在各种光学图像中,彩色图像是对外部客观世界的最为逼近的描述,因此相比灰度图像来说,对彩色图像的处理可以获得更大的信息量。 |
| 8. | Next , this paper describes a new feature - based method using edge information of typical objects combined with local gray - level statistical information to image - to - image registration
在此基础上，本文提出一种结合局部灰度信息与边缘形状信息的基于特征的sar图像配准方法。 |
