不同相机类型的图像特征分析

A. Mohammed
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引用次数: 1

摘要

有必要知道一个相机的分辨率和/或它的闪光灯可能会影响捕获的图像属性和特征,这是必不可少的,特别是那些谁在图像处理领域的工作。如果根据这两个因素对特征进行修改,那么这些特征将无法进行有效的处理和分析,因此需要计划研究这两个因素是否存在对图像特征的影响,本文就是这样做的。使用11个不同的数码相机和手机相机(带和不带手电筒),一些直方图和纹理图像特征显示它们的值和水平根据这些因素而变化。当相机的分辨率从低分辨率到高分辨率变化时,Mean特征保持在高水平,不受影响,但在手机中,它几乎在所有情况下都给出中到高的水平。方差分析表明,在低分辨率下,相机和手机在无闪光灯的情况下给出的结果相同,都是高电平,而当设备从普通相机切换到手机相机时,熵特征不受影响。更多的直方图特征也在后面进行了研究。对比度特征作为一种纹理特征,在没有闪光灯的情况下,在高分辨率下具有较低的水平,对能量特征、相关特征和均匀性特征进行了研究,并得出了许多结果,供图像处理相关人员参考。使用Matlab 2015和Microsoft Excel完成本工作
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Image Features Taken from Different Camera Types
A BSTRACT It is necessary to know how a camera resolution and/or its flashlight may affect the captured image properties and features, this is essential especially for those who work in the field of image processing. If the features are modified according to the mentioned two factors, they won’t be valid for processing and analysis, therefore a study should be planed to discover the impact of the presence or absence of those two factors on image features and this was implemented by this paper. Using 11 different digital and cell phone cameras (with and without the flashlight), some histogram and texture image features showed that they change in value and level according to these factors. The Mean feature remains in the high level and does not affect when the resolution of the camera changes from the low to high resolution, but in the cell phone it almost gives medium to high levels in all cases. The Variance of an image showed that in low resolution without flashlight, the camera and cell phone give the same result which is a high level, while the Entropy feature is not affected when the device changes from the normal camera to cell phone camera. More histogram features also are studied later. Contrast feature, as being a texture feature, has a low level in high resolution without a flashlight, Energy, correlation and Homogeneity features are studied and many results were concluded to the researchers who are concerned in image processing. Matlab 2015 and Microsoft Excel are used to complete this work
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