1.
Search Direction of Descent Direction in Model-Based Affine Reduced Secant Method
基于模型的仿射约化割线法中下降方向的求解方法
2.
Beam Hardening Correction Method for Cone-Beam Computed Tomography Based on Registered Model Simulation
基于配准模型仿真的锥束CT射束硬化校正方法
3.
The Model and Algorithm of Image Segmentation Based on PDE and Graph Cut
基于PDE、图割的图像分割模型及算法
4.
Segmenting Pedicles in Radiographs Based on Snake Model under Elliptical Shape Constraint
基于椭圆形状约束的Snake模型分割X线图像椎弓根影
5.
Application of Image Segment Method Based on GVF Snake Model for RA
基于GVF Snake模型的图像分割方法在放射吸收法(RA)中的应用
6.
Image Target Location and Tracking Based on Affine Transform Model;
基于仿射变换模型的图像目标定位跟踪方法
7.
The present nonlinear model reduction methods unfit for nonlinear benchmark buildings as their vibration equations belong to non-affine system.
非线性基准建筑物的振动方程属于非仿射系统,目前的非线性模型降阶方法不能采用.
8.
Research on Mathematical Model and Simulation of Cutting with other Types Based on Square Tube;
基于方管的相贯线切割轨迹建模与仿真研究
9.
Research of 3D Model Simplification Algorithm Based on Meaningful Segmentation
基于有意义分割的三维模型简化方法研究
10.
Image segmentation method using binary level set based on regional GAC model
基于区域GAC模型的二值化水平集图像分割算法
11.
Text Line and Paragraph Segmentation Based on simple Mumford-Shah Model
基于简化Mumford-Shah模型的文本行和段落分割算法
12.
Color Image Segmentation Based on B-spline Curve Model
基于B样条曲线模型的彩色图像分割
13.
An Image Segment Method Based on Color Invariance of Physical Reflection Model
一种基于物理反射模型颜色不变性的阈值分割算法
14.
Research on Image Segmentation Based on General Fuzzy Operation and Active Contour Model;
基于广义模糊集及主动轮廓线模型的图像分割方法研究
15.
Pattern simulation of sweater based on loop model
基于线圈模型的羊毛衫花型仿真模拟
16.
Interior Affine Scaling Trust Region Algorithm Via Optimal Path for Nonlinear Optimizations Subject to Linear Constraints;
线性约束优化的最优路径仿射内点信赖域方法
17.
Abstract Traditional level set method based on gradient model has the leaking problem during the curve evolution.
传统的基于梯度模型的水平集分割方法在水平集曲线演化过程中存在着边界泄漏问题。
18.
Research of Brain MRI Images Segmentation Based on Biomimetic Pattern Recognition
基于仿生模式识别的脑MRI图像分割方法研究