针对这些不足，提出了一种新的快速区域标记算法。
A new fast region-labeling algorithm is proposed in view of these shortcomings.
由于处理时间和存储空间的限制，常规的区域标记算法往往无法满足实时图像处理的需要。
Common region labeling algorithms often cannot meet the requirement of processing image at real-time because of the limitation of processing time and memory space.
为了减少后续目标提取的计算量，对分割后的图像采用了跑长码区域标记算法进行了标识。
To decrease the calculation of target extraction, segmented images are identified by the algorithm of Run-long code region identification.
为此，本文将标记分水岭算法应用于人耳有效区域的分割。
Therefore, a marked watershed algorithm was employed in this paper to select human ear image from the valid area.
识别算法采用差影法与4邻域连通区域标记相结合，并对差影法进行改进，建立起一个新型的运动检测模型。
Identification algorithm mix difference image method and 4-connected boundary tracking method, besides, we improved the difference image method and built a new moving detection model finally.
该算法根据网页半结构化的特点，按照HTML标记和网页的内容将网页进行区域分割。
The key idea is to segment each web page into different topic areas or segments according to its HTML tags and contents since web pages are semi-structure.
最后融合两步图像中心区域标记结果，采用基于标记的分水岭分割算法进行图像分割。
Finally, two-step marker results are fused and the image is segmented with a marker-based watershed algorithm.
该算法只需经过一次扫描图像，就能快速、准确地标记连通区域。
The proposed algorithm can complete the labeling with only one time of scanning and the comparative experiments with traditional algorithms show that it is more efficient and occupies less memory.
该算法只需经过一次扫描图像，就能快速、准确地标记连通区域。
The proposed algorithm can complete the labeling with only one time of scanning and the comparative experiments with traditional algorithms show that it is more efficient and occupies less memory.
应用推荐