图象细节 meaning in English
pictorial detail
Examples
- It will feature 3d graphics and lots of detail . ( men getting blown across the battlefield by canons , trees falling on houses , etc
它将以3d图形和更多的图象细节为基本特色。 （游戏中人物得按照一定的规则穿过战场，树在房子里倒下等。 。 ） - It will feature 3d graphics and lots of detail . ( men getting blown across the battlefield by canons , trees falling on houses , etc
它将以3d图形和更多的图象细节为基本特色。 （游戏中人物穿过战场时一定规律的喘气，树倒下压在房子上等。 。 ） - Quicken , better anti - jamming and avoid knowing approxima te matching area are the main feature of the algorithm . the further research of matching is done . on the basis of contact - match algorithm , small mismatching area is dealt with optimization method
在接触匹配算法的基础上，本文还对图象细节匹配进行了探索，分析了进行进一步匹配的原因，并对本文采用的方法进行了推导和实验。 - There is often noise in real images . in order to clear off the noise in image and meanwhile preserve the image edge information , we propose in the paper a efficient technique based on wavelet transform and median filter . based on the analysis of gaussian and impulse noise in wavelet transform , our method filters the high - frequency subband images combined to the property of median filter , then thresholds the subband images in wavelet - domain
在图像中常常会含有各种噪声；为了消除或衰减存在于图象中的噪声，同时尽可能地保留图象细节，本文提出一种基于小波变换与中值滤波相结合的方法实现了图象去噪；该方法是根据高斯噪声及脉冲噪声在小波变换下的不同特性，并结合中值滤波的特点，在小波域内对高频子带进行中值滤波，然后选择相应的门限进行降噪处理。 - Afterwards , several practical morphological techniques for binary image processing such as the design of morphological filter , edge detection , skeleton and image restoration are recommended . a new idea of morphological filtering operation with a series of continuous increscent structure element is presented , which gained a better effect in resuming image , eliminating yawp and saving image . on the issue of extract skeleton algorithm , connectivity of skeleton , stability of structure , resisting of yawp are considerate , using appropriate models of structuring elements is proposed , the experimental result is exciting . 45 % operation rate is enhanced by the fast extract skeleton algorithm
接着引入了形态滤波器设计、边缘形态检测、骨架抽取、图象重建四种形态学处理的实用算法，在形态滤波器设计算法中提出了采用连续增大的一系列结构元素去进行图象多级滤波的新思路，在恢复图象、消除噪声和保存图象细节三个方面，都得到较好的效果；在骨架抽取算法的实现问题上，充分考虑了骨架的连通性、结构的稳定性、线条只有一个象素宽、抗噪声强等一些必要特性，通过选取合适的结构元素模板来对传统的算法进行改进，处理效果令人比较满意。