文章摘要信息 关键词 ： 柔式内窥镜图像 光流算法 图像灰度值算法 [gap=1024]Keywords : flexible endoscope image;the optical flow algorithm;the image intensity algorithm
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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)。
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