| 1. | The simulation results prove this algorithm can deal well with the global movement cased by camera
通过实验结果可知,相对于其它算法,该方法可以得到更完整的变化区域。 |
| 2. | Remote sensing technology is very important for monitoring land use change and detecting land use change areas
遥感技术是进行土地利用变化动态监测，发现土地利用变化区域的重要手段。 |
| 3. | With has been corrected by the energy analysis . other way is the motion - changed region detection algorithm based on fuzzy entropy clustering in time - differenced image
第二种方法是基于时差分模糊熵聚类的运动变化区域检测算法。 |
| 4. | This method based on differenced frame process and utilizes double constraints of relative gaussian noise and block energy to detect the change region
该方法通过基于块的帧差处理,利用相对噪声服从高斯分布的特性和能量的属性的双重约束来检测运动变化区域。 |
| 5. | In the paper , it make some helpful research and discussions on this point and put forward a practical segment method on moving objects according to moving region detection
本论文再此方面做了有益的研究和探讨，并提出了一种实用的基于变化区域检测的运动对象分割方法。 |
| 6. | Experiments prove that this method can achieve a satisfactory result , and over come the traditional one ' s shortcoming of improper for the camera ' s movement
实验证明此方法能得到较满意的分割效果，克服了传统的基于变化区域检测的运动对象分割方法不适宜摄像机运动的情况。 |
| 7. | We can divide every frame into similar chromatic regions , luminance changed regions and chroma changed regions and resolve the problem of inaccurate segmentation within luminance changing conditions
我们将图象帧划分成色彩相似区域、光照变化区域和色彩改变区域来进行判断，从而解决了亮度变化造成分割不准确的问题。 |
| 8. | Image difference is the most direct change detection method for change area extraction , but the gray difference image that is only based on spectral feature is difficult in describing the structure change of an objects
图像差分是实现变化区域检测的最直接方法,但是仅仅根据地物光谱特征差异得到的灰度差分图像难以表征地物局部结构的变化。 |
| 9. | This paper proposes the two ways that can automatically detect motion change regions in video sequence . one way is the automatic video motion region detection method based on the noise parameters estimation and energy analysis
本论文提出了两种运动变化区域检测的方法,第一种方法是基于噪声特征参数估计和能量分析的视频运动变化区域检测方法。 |
| 10. | The traditional segment method according to moving region detection gets the moving information by the residual quality of space and time between two frame , and then eliminates the disturbance of noises through statistics way ,
传统的基于变化区域检测的运动对象分割方法都是利用了相邻两帧间的时域差分来得到目标的运动信息，再用统计学方法消除噪音的干扰，从而完成分割。 |
