| 1. | Average semi variogram
平均半方差图 |
| 2. | Fifthly , a texture description and accessing algorithm based on the variogram function is introduced
提出了一个基于variogram函数的纹理图象分析和检索方法。 |
| 3. | The image is divided to different parts by result that the image is analyzed by the variogram function
通过应用变差函数来分析图像上不同区域的性质，作为图像划分区域依据。 |
| 4. | The rnultiscale edge detection and texture image segmentation are studied based on the variogram function
我们基于变差函数的这种性质对图像的多尺度边缘检测和纹理分割作了较为深入的研究。 |
| 5. | Generally , the calculation of semi - variogram calls for data to conform to normal distribution , or it will cause proportion effects
变异函数的计算一般要求数据符合正态分布，否则可能会使变异函数产生比例效应。 |
| 6. | The variogram function comes from linear geological statistics , which exhibits not only the stochastic but also the structural properties of image data
变差函数是线性地质统计学中的概念，它不仅反映了图像数据的结构性，而且还反映图像数据的随机性。 |
| 7. | Spherical models , exponential models , gaussian models can be used to fit the semi - variogram . draft phenomena of available iron showed hole effect model
其变异函数可用球状模型、指数模型、高斯模型拟合，有效铁存在漂移现象，可用孔穴效应模型拟合。 |
| 8. | In this di ssertation , segmentation , description and recognition of objects are studied systematically by the variogram function and implicit polynomial ( ip ) curve
本文引进变差函数和隐含多项式曲线理论对景物图像中的物体分割、描述和识别作了较为系统的研究。 |
| 9. | At the same time , according to the excellent capability of ip curves , we study fitting and description of objects , determination of invariants of objects , symmetry detection and recognition of objects based on ip curves . in all , the main contributions in the dissertation are as follows : ( 1 ) a method of determining automatically the scale of the multiscale edge detection is proposed based on the variant distance of the variogram function , and a method of segmenting texture images is also presented . the variograin values are taken as stochastic and structural properties of texture images and variant distance is taken as the size of image window
同时，基于隐含多项式曲线良好的物体描述与识别能力，对物体边界轮廓的拟合、描述、不变量特征的提取、识别以及物体对称性检测作了系统的研究，主要成果及创新之处有： （ 1 ）基于变差函数的变程，提出了图像多尺度边缘检测中尺度大小的自动确定方法；将变差函数的变差值作为纹理的统计和结构特征，依据变程确定窗口大小，给出一种新的纹理图像的分割方法。 |
