The dissertation proposes a novel adaptive block-size stereo image coding algorithm based on traditional block-based coding algorithm, which fully utilizes the information of intensity variety.
论文研究了传统的基于块匹配的立体图像编码方法，在此基础上，提出了一种新的利用亮度变化信息的自适应块匹配立体图像编码算法。
Since this algorithm utilizes both the intensity information and the edge information of an image, it compensates for the deficiency of depending only on a single information source.
该方法同时利用图象中的灰度信息和边缘信息，从而克服了只依靠单一信息源的不足。
In the paper, a suppressed fuzzy c-means (S-FCM) algorithm, for intensity image segmentation, is proposed on the basis of the characters of FCM algorithm and intensity images.
该文根据FCM算法和灰度图像的特点，提出了一种适用于灰度图像分割的抑制式模糊C -均值聚类算法(S - FCM)。
An improved algorithm for corner detection is based on the property of corners that the change of image intensity should be high in all direction.
提出了一种改进的角点提取算法，该算法是基于角点的性质，即在角点的某个邻域内，图像灰度的变化在任意一条通过该点的直线上都很大。
The algorithm only needs to plot a set of equi-intensity curves of diffuse reflection and specular reflection on the rotating paraboloid, and then realistic image can be obtained.
这种算法只需绘出旋转抛物面上的漫反射和镜面反射等灰度曲线组，就能得到具有高度真实感的旋转抛物面图像。
On the basis of evaluation function of using image intensity variance, we proposed a new auto-focusing algorithm by means of Wavelet Transform Multi-Resolution Analysis(WTMRA) theory.
在传统图像灰度方差评价函数的基础上，利用小波多分辨率分析，提出了一种新的自动聚焦算法。
Combining the thoughts of image intensity normalization and two-dimensional cross-entropy, a moving object detection algorithm, which is robust against illumination changes, is presented.
结合图像亮度归一化和二维交叉熵的思想提出了一种针对光照变化鲁棒性强的运动目标检测算法。
A comparison of FCM and KFCM-II algorithm with application in MRI image segmentation has been presented, and a discussion on the effect of intensity bias field correction in KFCM-II algorithm given.
对FCM和KFCM - II算法应用于MRI图像分割进行了比较，讨论了在这两种算法中应用灰度有偏场纠正的效果。
This paper proposes an improved corner detection algorithm, based on the property of corners that the change of image intensity must be high in all directions.
提出了一种改进的角点提取算法。该算法是基于角点的性质，即在角点的某个邻域内，图像灰度变化在任意一条通过该点的直线上都很大。
The "intensity moment", which is preserved in the color image, is called bi-level threshold algorithm of moment 4-D clustering.
这种称为矩—四维聚类的两级阈值化算法不仅简单实用，而且效果较好。
In order to adapt the optic intensity variation of the environment and to obtain stable and high quality image features, an automatic control algorithm on CCD camera electric shutter is proposed.
为了使CCD相机适应变化的环境光强，从而获得稳定的高质量图像特征，提出了一种获得稳定图像特征的电子快门自动控制算法。
The experimental results show that the proposed algorithm can obtain more accurate results in comparison with the registration method based on LiDAR intensity image.
通过与现有基于点云强度图的配准方法的对比实验表明，在低精度初始外方位元素的辅助下，本文方法能够达到较高的配准精度。
The experimental results show that the proposed algorithm can obtain more accurate results in comparison with the registration method based on LiDAR intensity image.
通过与现有基于点云强度图的配准方法的对比实验表明，在低精度初始外方位元素的辅助下，本文方法能够达到较高的配准精度。
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