| 1. | Method in visual basic , you will need to expand the region labeled windows form designer generated code
方法，则需要展开标记为“ windows窗体设计器生成的代码”的区域。 |
| 2. | This paper brings forward a new approach for region labeling by using double pulse coupled neural networks ( pcnn ) and morphology
摘要提出了一种双层脉冲耦合神经网络与数学形态学相结合的区域标识算法。 |
| 3. | To access the constructor in visual basic , you will need to expand the region labeled windows form designer generated code
若要在visual basic中访问构造函数，则需要展开标记为“ windows窗体设计器生成的代码”的区域。 |
| 4. | This sequence of operations - image capture , early processing , region extraction , region labeling , high - level identification , qualitative / quantitative conclusion is characteristic of image understanding and computer vision problems
图像获取、早期处理、区域分割、区域标注、高层识别、定性/定量的结论这样的操作序列,在图像理解和机器视觉问题中是典型的特征。 |
| 5. | In this paper we present three new methods of image manipulation including linear parallel search method for region labeling , statistical peaking method for object - size ascertainment and characteristic - points matching method for object recognizing
针对核孔膜显微图像自动识别的具体问题，本文创新地提出线性并行区域标记方法、对象尺寸统计峰值方法和特征点匹配识别方法。 |
| 6. | ( 7 ) traditional region labeling was not considered because it wastes time and scan frequently the image . but fast edge tracing was improved to trace several edges each time . chain code of the edge was used to calculate perimeter and object area
( 7 )针对区域标记存在速度慢、重复扫描图像等不足，改进了轮廓跟踪算法，使区域标记与轮廓跟踪有机地结合在一起，提高了处理速度，同时改进了面积计算方法，避免了筛选和排序。 |
| 7. | Firstly , the preliminary result is got by using one pcnn and then further operation is performed on the result using the other pcnn and morphology : region orientation , uniting small region , edge extraction and thinning , and region labeling
首先利用一层脉冲耦合神经网络对图像进行分割，得到初步的结果；再利用另一层网络检测到的边缘点与形态学结合，对分割的区域进行相应的操作：区域定位，合并小区域，提取边界，对边界进行细化；最后对区域进行了标识。 |
| 8. | The three primary color channels of color image are separately captured to the image acquisition board by using special hardware and software technology , therefore , three lines of seeds are parallel captured . contrastive test is done to compare advantage and disadvantage of threshold chosen method , which can either be chosen from trying or iteration , and predefined threshold chosen is selected , which result in lessen processing time . region labeling using sequential algorithm and seed object recognition are studied , and then the center of a region is calculated
包括：为了有效地去除大量冗余图像信息，减少计算机存储量，而采用的逐场采集和隔帧存方法；为实现三行播种通道种子信息的并行采集，图像三分量独立采集的软硬件技术方法；对比实验了自定义阈值选取与基于迭代方式的最优阈值的优缺点，选用了自定义阈值进行图像分割，缩短了图像处理时间：研究了基于序贯算法的种子区域标记技术与种子目标识别技术，并进行了质心参数计算。 |
| 9. | Edges of the image are detected out firstly , labeled according to the motion that they obey then and the areas of the frame between edges are divided into regions . at last , using the bayesian framework presented determines the most likely region labeling and depth ordering with the labeled edges
首先使用经典的canny算子检测出一帧图像的边缘，然后对其进行运动估计、边缘和区域标定，再应用最大后验概率的贝叶斯方法搜索出不同区域的极大似然分割，给出不同运动层的相对深度标定。 |
