首页> 外文会议>Conference on Image Extraction, Segmentation, and Recognition Oct 22-24, 2001, Wuhan, China >A Novel Intelligent Multi-Agent Image Segmentation Method with Confidence Estimate
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A Novel Intelligent Multi-Agent Image Segmentation Method with Confidence Estimate

机译:一种具有置信度估计的智能多智能体图像分割方法

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摘要

A new image segmenting method with multi-agent structure is proposed to cope with the image variability and the intrinsic complexity of segmenting tasks. This method includes agents of nine different functions, namely, control, multi-valued segmentation, region splitting, region merging, marking, regional feature calculation, spatial relationship analysis, and confidence calculation. With the exception of carrying on communication in the form of instructions and answers, the communication and coordination of work between agents are performed through the reception and operation of various (original and processing-generated) data on the blackboard. The final segmentation results jointly obtained by the multiple agents take segmented subregion confidence as a component for characterizing the region feature vector. The object identification algorithm will make use of the domain knowledge of objects and features with confidence component for detection and identification of the segmentation results. The flexibility, adaptability and robustness of this method have been confirmed by experimental results.
机译:提出了一种具有多主体结构的图像分割方法,以解决图像可变性和分割任务的内在复杂性。该方法包括具有九种不同功能的代理,即控制,多值分割,区域划分,区域合并,标记,区域特征计算,空间关系分析和置信度计算。除了以指示和答案的形式进行通讯外,座席之间的通讯和工作协调是通过黑板上各种(原始的和处理生成的)数据的接收和操作来进行的。由多个主体共同获得的最终分割结果将分割后的子区域置信度作为表征区域特征向量的组成部分。对象识别算法将利用具有置信度分量的对象和特征的领域知识来检测和识别分割结果。实验结果证实了该方法的灵活性,适应性和鲁棒性。

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