精选问答
求英语水平好的翻译!就是下面这段,翻译英文!数字图像处理技术起源于20世纪20年代,但真正发展是在80年代后,随着计算机技术的和人工智能、思维科学研究的迅速发展,图像处理正向着高速、高分辨率、立体化、多媒体化、智能化和标准化方向发展。在图像通讯、办公自动化系统、地理信息系统、医疗设备、卫星照片传输及分析和工业自动化领域具有非常广泛的应用,并且出现了众多的图像处理理论和算法(Wavelet、Fractal、Morphology、遗传算法、神经网络等),如Fractal算法可以广泛应用到图像处理、图形处理、纹

2019-05-29

求英语水平好的翻译!
就是下面这段,翻译英文!
数字图像处理技术起源于20世纪20年代,但真正发展是在80年代后,随着计算机技术的和人工智能、思维科学研究的迅速发展,图像处理正向着高速、高分辨率、立体化、多媒体化、智能化和标准化方向发展。在图像通讯、办公自动化系统、地理信息系统、医疗设备、卫星照片传输及分析和工业自动化领域具有非常广泛的应用,并且出现了众多的图像处理理论和算法(Wavelet、Fractal、Morphology、遗传算法、神经网络等),如Fractal算法可以广泛应用到图像处理、图形处理、纹理分析,同时还可以用于数学、物理、生物、神经、和音乐等方面。
本文论述了数字图象处理部分功能的原理以及设计过程,并对同种功能的不同算法进行了比较。
优质解答
Digital Image processing technology originated in the 1920s, but the real development in the 1980s, as computer technology and artificial intelligence, the rapid development of scientific thinking, image processing is in a high-speed, high-resolution, three-dimensional, multi-media , Intelligence and standardization direction. In image communications, office automation systems, geographical information systems, medical equipment, transmission and analysis of satellite photos and industrial automation field has a very wide range of applications, and a large number of theory and image processing algorithms (Wavelet, Fractal, Morphology, genetic algorithm, Neural networks, etc.), such as Fractal algorithm can be widely applied to image processing, graphics processing, texture analysis, and also can be used for mathematics, physics, biological, neurological, and music, and so on.
This article discusses some of the digital image processing functions and the principles of the design process, and with the functions of different algorithms were compared.
Digital Image processing technology originated in the 1920s, but the real development in the 1980s, as computer technology and artificial intelligence, the rapid development of scientific thinking, image processing is in a high-speed, high-resolution, three-dimensional, multi-media , Intelligence and standardization direction. In image communications, office automation systems, geographical information systems, medical equipment, transmission and analysis of satellite photos and industrial automation field has a very wide range of applications, and a large number of theory and image processing algorithms (Wavelet, Fractal, Morphology, genetic algorithm, Neural networks, etc.), such as Fractal algorithm can be widely applied to image processing, graphics processing, texture analysis, and also can be used for mathematics, physics, biological, neurological, and music, and so on.
This article discusses some of the digital image processing functions and the principles of the design process, and with the functions of different algorithms were compared.
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