| 1. | Finally , we mainly discuss the system performance in the presence of background light
最后，讨论了系统的抗噪性。 |
| 2. | For example , the simulation is given to prove ann ' s noiseproof feature in this paper
如为证明网络的抗噪性，文中进行了仿真。 |
| 3. | In addition , we introduce the fuzzy mechanism and spacial mechanism so that the results are insensitive to noise
此外，本文除将竞争hopfield网络用于图像分割外，为了提高抗噪性，还引入了模糊机制和空间机制。 |
| 4. | The characteristics of the two methods are studied by numerical simulation . the results show that both the methods are reasonable and feasible
结果表明，所研究的方法在时频分辨能力、抗噪性等方面具有明显的优势。 |
| 5. | The experimental results have demonstrated that the proposed method very suitable for fusion of spectrum images in mostly preserving spectrum information and resisting noises ; 3
实验表明该算法产生的光谱畸变很小，并且有良好的抗噪性，非常适合处理多光谱图像的融合； 3 |
| 6. | A new approach to extract corners on the boundary was proposed . theoretical and experimental show that the algorithm is antinoise strongly and the corners are stabile
摘要给出两种新的提取图像边界角点的新方法。理论和实验表明，算法具有较强的抗噪性，而且提取出的角点稳定。 |
| 7. | Moreover the structure of the neural network is further optimized , so the convergence rate of the algorithm is obviously accelerated . at last the robusticity of the algorithm is carefully inspected and the result is perfect , and is worth of research
在此基础上对网络结构进行了进一步的优化，提高了算法的收敛性，并且对算法的抗噪性进行了检验，结果表明算法的抗噪性良好，有较高的应用价值。 |
| 8. | Because the wavelet moments that shen proposed . cannot be applied in computer , we put forth a discrete method of wavelet moments . experiments show that the discrete wavelet moments are superior to the traditional moments . because of the disadvantage of k - means and bp algorithm , we use the wavelet neural network in system of image recognition
针对连续小波矩在工程中不宜使用，本文提出了一种实用的离散化方法，并通过计算机仿真与zernike矩和相对不变矩做了比较，证明了离散小波矩特征在抗噪性和识别能力上是较优的。 |
| 9. | When two images have different resolutions , the higher resolution the images have , the better result it turns out , but it will consumes much more time . we also focus on partial volume ( pv ) interpolation algorithm . the value of mutual information ( mi ) does n ' t increase or decline in one direction at translation from one integer to the nearest integer
在添加了不同噪声干扰时，它表现出了很好的抗噪性；对于不同分辨率的图像配准，分辨率越高，配准精度越高； pv插值技术导致互信息相邻整数变换之间的非单调性。 |
| 10. | 2 ) in the aspect of classification , a new feature vector for classification is developed . this kind of vector can be gotten directly from the orientation images . compared with other classification features , it ' s advantages are computational simplicity and low dimension , so it is more suitable for classification
2 )在分类部分，本论文提出了一种新的用于分类的特征矢量，这种特征可从方向图上直接得到，有着很好的抗噪性，而且计算简单，向量维数小，有利于分类器的正确分类。 |
