The thesis discusses the image pretreatment methods of image grayness, grayness transform, image smoothness, image sharpness and image binarization;
论文深入研究了图像灰度处理、图像灰度变换、图像平滑、图像锐化、图像二值化等图像预处理方法。
Compared with methods of wavelet transform, the method using in this paper can better reappear the ground information of cloud covering and have better image smoothness and image definition.
相比于小波变换等方法，该方法更好地再现了云层覆盖区的地物信息，具有更好的图像光滑度和清晰度。
Numerous other shapes exist, as do controls for line width and smoothness of image.
其他形状多得不胜枚举，因此对于行宽及图像平滑度的控制也是不计其数的。
Results show th at under certain conditions, the whole system MTF can be effectually improved by smoothness constraint restoration, consequently, the remote sensing image becomes clear.
可以得出结论，在一定条件下，利用平滑约束复原方法可以有效地改善整个系统的调制传递函数，从而使图像变得清晰。
The theory based on smoothness constraint restoration is introduced, then the remote sensing image of CCD camera with the method is processed.
文章先介绍了平滑约束复原方法的理论基础，然后用该方法对CCD相机的遥感图像进行了复原处理。
Another method is thin plate spline elastic approximation, which takes the overall smoothness of the whole image into account, hence it is better when errors of feature points exist.
而弹性近似法充分考虑了整体平滑性的要求，对定位有误差的标志点约束的图像配准更为优越。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
A new degraded image restoration algorithm which USES adaptive smoothness constraint based on fuzzy functions is used, is proposed.
为了在抑制噪声的同时保护图像的细节，提出了一种基于模糊函数的自适应平滑约束图像复原算法。
Preprocessing finishes the prophase job to make it easier to do the following recognizing work, which includes binarization, smoothness and refinement such image standardization operations.
预处理完成的是前期工作，对获取的待识别图像进行二值化、平滑、细化等图像规范化操作使得更易进行下步的识别操作。
Multiwavelet possesses such very important properties in signal processing as orthogonality, symmetry, smoothness, and short support, which is specially applicable to image coding for compression.
多小波变换兼有对称性、正交性、光滑性和有限支撑等信号处理中的十分重要的性质，特别适用于图像的压缩编码。
The smoothness constraint method of image restoration in frequency domain and its practical application in the remote sensing field are emphasized.
重点研究了频域平滑约束复原方法以及该方法在遥感领域中的实际应用。
Through the image segmentation contrast experiment, verified the effectiveness and smoothness of our method.
通过图像的分割实验对比，验证了本算法的有效性和平滑性。
The structure is compact, zoom distance is short and zoom track is smoothness, The image plane is tranquilization.
结构紧凑，变焦行程短， 变焦轨迹平滑，像面稳定。
The structure is compact, zoom distance is short and zoom track is smoothness, The image plane is tranquilization.
结构紧凑，变焦行程短， 变焦轨迹平滑，像面稳定。
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