space quantization

A new HSV color space quantization method is proposed .

提出了一种新的HSV空间量化方法。

A Novel Color Space Quantization Scheme A New Transducer for Color Distinction

一种新的颜色空间量化方案

Resonance of electrons or atoms or molecules or nuclei to radiation frequencies as a result of space quantization in a magnetic field .

是指量子化的磁场空间中的原子、电子、分子或分子核辐射特定频率的微波的共振现象。

Especially , the method of the spectral clustering based on color space quantization maybe can provide some idea for image segmentation . And the improved Gabor wavelet feature is a supplement for transform coefficients features of characters .

值得一提的是，基于颜色空间量化的谱聚类文本分割方法可以为其它图像分割问题提供思路；改进的Gabor小波特征也是对字符变换系数特征的一个补充。

Area block in light-fields and concentric mosaics was compressed with block coder , and it was recoded with space vector quantization .

块编码压缩光场和同心拼图中的区域块，用空间矢量量化重新编码。

We show that the q-deformation corresponds to Beltrami deformation of the complex coordinate of phase space , h quantization of the system of the classical deformed oscillators is also discussed , Uq ( SU ( 2 )) algebra in Lie bracket obtained .

并讨论了这种经典q变形谐振子系统的量子化，得到在Lie括号意义下的Uq（SU（2））代数。

The processing of the color characteristics concludes of the image color space conversion , color quantization and color expression .

对于色彩特征的处理主要采用了图像色彩的空间转换，色彩的量化，色彩的表达等技术方法。

Collision free path planning algorithm for space manipulators based on implicit hierarchical configuration space quantization

基于隐式位姿空间分层量化的空间机械手无碰撞路径规划方法

Implicit Finite Element Adaptive Upwind Methods for Euler Equations on Unstructured Meshes COLLISION FREE PATH PLANNING ALGORITHM FOR SPACE MANIPULATORS BASED ON IMPLICIT HIERARCHICAL CONFIGURATION SPACE QUANTIZATION

非结构网格上欧拉方程的自适应逆风隐式有限元解法基于隐式位姿空间分层量化的空间机械手无碰撞路径规划方法

Vector quantization technology differents from traditional mark quantization methods , basic thought to unite several scalar data into a vector and carry on space divided to vector space , which offered quantization wholly , thus data are compressed in high quality .

矢量量化技术不同于传统的标量量化方法，基本思想是将若干标量数据联合成一个矢量，然后对矢量空间进行空间划分，给予整体量化，从而更高质量地压缩数据。