1) piece wise-linear gray level transformation
分段线性灰度变换
1.
Image analysis and recognition algorithms, such as piece wise-linear gray level transformation and Hough transformation, and the template matching method, are used synthetically to automatically take out the direction and position of the pointers on the meter panel and to determine th.
对实现其原理所采用的主要方法,如分段线性灰度变换、Hough变换、模板匹配法进行了介绍。
2) grey linear transformation
灰度线性变换
1.
We can expand dynamic range using grey linear transformation, and make fine structures improved using enhanced high -pass filtering method.
灰度线性变换法能够加大图像动态范围,增强高通滤波法能够增强图像的精细结构。
4) grey level nonlinear transformation
灰度非线性变换
5) linearity gray transform
线性灰度变换
1.
The basic principle of image enhancement of linearity gray transform based on removing redundance gray and Butterworth high-pass filter based on the Fourier transform is analyzed,and their realization methods in image enhancement are discussed,their respective advantages are indicated.
分析了去灰度冗余的线性灰度变换与基于傅里叶变换的巴特沃斯高通滤波图像增强的基本原理,讨论了它们在图像增强中的实现方法,指出了各自的优点。
6) Piecewise Linear Transformation
分段线性变换
补充资料:分段线性映射
分段线性映射指两个单纯形间的映射,它限制一个点(不是顶点)附近是线性的。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条