提出一种改进的工业CT切片图像轮廓跟踪算法，目的是实现多轮廓边界点坐标值的有序输出。
An improved contour tracing algorithm for industry CT images is introduced and the goal is to output the coordinate values of multi-contour boundary points in order.
针对图像中字符识别技术的应用需求，提出了轮廓跟踪算法的改进算法，在链码表示法基础上提出了轮廓表存储结构。
To fulfill the application requirement of character recognition in image, an improved algorithm for contour following algorithm was proposed and a contour list based on chain code was presented.
在细胞轮廓提取方面，提出了一种基于特征编码和回溯机制的轮廓跟踪算法，能够正确跟踪具有短枝干扰的细胞边界，增强了细胞提取的可靠性。
As for contour tracking, a contour tracking method based on characteristic code and retrospecting mechanism is present, which can track cell edge with short branch, so as to enhance its robustness.
给出一种新的基于活动轮廓与光流约束的椭圆跟踪算法。
A new ellipse-tracking algorithm based on the active contour and the optical flow technique was proposed.
此外，运用边缘检测、轮廓提取和轮廓跟踪等算法将CT图像进行边缘以及轮廓的处理。
Besides, the algorithms of edge detection, contour extraction and contour trace have been adopted in ct imaging processing.
讲述了对二值图象中所感兴趣的物体区域的选定方法，并提出了一种通用性较强的边缘跟踪算法，以提取被选定物体区域的外边缘轮廓。
A selection method is described to select the interested object areas in binary image, and a new general tracking boundary algorithm is proposed to acquire the outside boundary of the selected area.
提出了一种基于轮廓匹配来预测二维关节点的算法，有效地解决了遮挡和跟踪错误积累这一关键问题。
Propose a method based on shape matching to solve the occlusion and error accumulation which are two difficult problems in the human body tracking.
同时提出一种基于动态规划的轮廓连接新算法，该算法能在运动区域中跟踪物体的运动边界，并同时检测出场景中位于非运动区域的静态物体边界。
New algorithms for contour linkage are proposed to track the object's motion edges as well as detect the disappearance of existing edges of the object in the scene.
为了快速准确的检测特定边界，采用边界点跟踪算法检测特定轮廓边界点。
In order to detect the interested boundary fast and correctly, an boundary point tracking algorithm was proposed to detect the specifical edge of the image.
跟踪算法分为两步进行，首先应用均值漂移算法实现手部区域的定位，然后基于自适应活动轮廓模型提取手部轮廓。
The proposed method consists of two steps: hand location using mean shift and hand extraction based on adaptive active contour model.
并采用边缘跟踪算法，获取运动物体的外部轮廓特征，对序列图像进行处理，继而实现对运动物体进行识别跟踪。
Then, adopt the edge tracking algorithm to acquire the exterior outline feature of moving object and process the sequence images. After that, the recognized tracking is carried out for moving object.
同时，基于轮廓匹配来预测二维关节点的算法有效地解决了遮挡和跟踪错误积累这一关键问通。
A method based on shape matching was also promoted to solve the occlusion and error accumulation problem.
利用抽取轮廓边的算法将边跟踪算法从CAD模型扩展到一般的面片模型。
Extending the type of model in edge-based tracking from CAD model to general mesh model by extracting the silhouette from the 3D model.
利用抽取轮廓边的算法将边跟踪算法从CAD模型扩展到一般的面片模型。
Extending the type of model in edge-based tracking from CAD model to general mesh model by extracting the silhouette from the 3D model.
应用推荐