Optimization of an Image Set by Genetic Feature Selection for Real-time Photomosaics

机译：通过遗传特征选择优化图像组，用于实时光镶嵌

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摘要

We present a genetic feature selection method for the optimization of an image set for producing real-time photo-mosaics. A photomosaic is an image that is divided into grid cells, each of which is replaced with another image of an appropriate color pattern. Construction of a photomosaic requires a large set of tile images with different patterns. However, a large number of photo images requires expensive pattern searching and a large storage space. These requirements can cause problems in applications to real-time domains or mobile devices with limited resources. We present a genetic feature selection method for building an optimized image set to accelerate pattern searching and minimize the memory cost.

机译：我们提出了一种遗传特征选择方法，用于优化用于产生实时光马赛克的图像集。光电马赛克是被划分为网格单元的图像，每个网格单元均被具有适当颜色图案的另一幅图像替换。光马赛克的构造需要大量具有不同图案的瓷砖图像。但是，大量照片图像需要昂贵的图案搜索和较大的存储空间。这些要求可能会导致在资源有限的实时域或移动设备的应用程序中出现问题。我们提出了一种遗传特征选择方法，用于构建优化的图像集，以加速模式搜索并最小化存储成本。

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来源
《Annual genetic and evolutionary computation conference;GECCO-2010》|2011年|p.1309-1310|共2页
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作者
Yoon-Seok Choi; Bon-ki Koo; Byung-Ro Moon;
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正文语种
中图分类遗传学;计算技术、计算机技术;
关键词
Non-photorealistic rendering; photomosaics; real-time; genetic feature selection;

机译：非真实感渲染;光马赛克即时的;遗传特征选择;

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专利

1. Real-time video photomosaics with optimized image set and GPU [J] . Yoon-Seok Choi, Soonchul Jung, Jae Woo Kim, Journal of Real-Time Image Processing . 2014,第3期

机译：具有优化图像集和GPU的实时视频光马赛克
2. Genetic Particle Swarm Optimization–Based Feature Selection for Very-High-Resolution Remotely Sensed Imagery Object Change Detection [J] . Qiang Chen, Yunhao Chen, Weiguo Jiang Sensors . 2016,第8期

机译：基于遗传粒子群优化的特征选择，用于超高分辨率遥感影像对象变化检测
3. Genetic Particle Swarm Optimization–Based Feature Selection for Very-High-Resolution Remotely Sensed Imagery Object Change Detection [J] . Qiang Chen, Yunhao Chen, Weiguo Jiang Sensors . 2016,第8期

机译：基于遗传粒子群优化的特征选择，用于超高分辨率遥感影像对象变化检测
4. Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization [C] . R. Barandela, J. K. Hernandez, J. S. Sanchez, Catalan Conference on Artificial Intelligence . 2005

机译：通过遗传优化的不平衡训练集减量和特征选择
5. Genetic algorithm optimized feature extraction and selection for ECG pattern classification. [D] . Huang, Zhijian. 2002

机译：遗传算法优化了心电图模式分类的特征提取和选择。
6. Classification of breast masses in ultrasound images using self-adaptive differential evolution extreme learning machine and rough set feature selection [O] . Kadayanallur Mahadevan Prabusankarlal, Palanisamy Thirumoorthy, Radhakrishnan Manavalan 2017

机译：使用自适应差分进化极限学习机和粗糙集特征选择对超声图像中的乳腺肿块进行分类
7. The rough sets feature selection for trees recognition in color aerial images using genetic algorithms [O] . Pan, Li, Nahavandi, Saeid, Zheng, Hong 2003

机译：使用遗传算法的彩色航空图像中树木识别的粗糙集特征选择
8. Evaluation of Entropy and JM-Distance Criterions as Features Selection Methods Using Spectral and Spatial Features Derived from LANDSAT Images [R] . Parada, N. D. J., Dutra, L. V., Ii, F. A. M., 1984

机译：利用LaNDsaT图像得到的光谱和空间特征评估熵和Jm距离准则作为特征选择方法

Optimization of an Image Set by Genetic Feature Selection for Real-time Photomosaics

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