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首页> 外文会议>2017 International Conference on Engineering and Technology >Identification and seperation of Turkish and Australian cartoons by wavelet transform and neural networks methods
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Identification and seperation of Turkish and Australian cartoons by wavelet transform and neural networks methods

机译：小波变换和神经网络方法识别和分离土耳其和澳大利亚卡通

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摘要

Art and science show progress together and they are one of the most important parameters indicating development levels of countries, nations and societies. Moreover, art generates new concepts, environments and tools with the contributions of science and technology. Cartoon as an art discipline, as for all other fields of art, needs to be defined through new approaches such as Wavelet Transform and Neural Networks Methods which are commonly being used in image processing, compression, classification in various medical and biomedical fields. In this study, it is planned to apply such digital and analytical methods on Turkish and Australian cartoon data. Due to parallelism on drawing styles and characteristics of same periods' or following periods' cartoons of artists; physical classification and separation of cartoons may become harder. In addition, criticisms on cartoons commonly are to be interpretative without exact analytical indicators.
机译：艺术和科学共同显示进步，它们是指示国家，民族和社会发展水平的最重要参数之一。此外，艺术在科学和技术的贡献下产生了新的概念，环境和工具。与所有其他艺术领域一样，卡通作为一门艺术学科也需要通过新方法来定义，例如小波变换和神经网络方法，这些方法通常用于各种医学和生物医学领域的图像处理，压缩，分类。在这项研究中，计划将这种数字和分析方法应用于土耳其和澳大利亚的卡通数据。由于绘画风格和同一时期或之后时期的画家的漫画特点平行；漫画的物理分类和分离可能会变得更加困难。此外，对漫画的批评通常是解释性的，没有确切的分析指标。

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