• The first method is adaptive threshold segmentation based on local blocks of image.

    第一种图像分割方法是基于局部分块的图像自适应阈值分割方法。

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  • The image threshold segmentation method of pests in stored grain is a base and very important part.

    阐述了储粮害虫图像分割是储粮害虫智能检测识别系统的基础和关键。

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  • Experimental results show that this method can be effectively applied for the multi-threshold segmentation of complex images.

    应用实例结果表明,该方法能够快速有效地实现复杂图象的多阈值分割。

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  • Firstly, the algorithm segments the original images with the threshold segmentation and obtains the segmentation value of voxels.

    通过对两幅断层图像进行门限分割,获得体素的分割值。

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  • This paper presents a chalky rice detection method that is studied based on multi-color conversion and fuzzy threshold segmentation.

    提出了一种基于多重色彩转换和模糊阈值分割的垩白米检测方法。

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  • The method of face detection is establishment of skin color model and computation of similarity graph, then classify by threshold segmentation.

    脸部位置的检测定位主要建立肤色模型以及计算肤色相似度图,通过阈值分割方法进行分类和定位。

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  • A fast threshold segmentation algorithm based on pixels grey-scale percentage was put forward to satisfy the real-time requirement of the system.

    提出了一种基于像素灰度百分比的快速阈值分割算法,满足系统实时性的要求。

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  • While classified object cannot be calibrated or is too complicated, hard to acquire perfect result of segmentation by normal threshold segmentation.

    当分类目标无法标定,或分类目标复杂性高时,采用一般的阈值分割很难获得较满意的结果。

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  • The algorithm includes two major phases: 1)removing white noise and acnode noise by threshold segmentation and grayscale neighborhood property respectively;

    该算法的主要步骤分两步:1)分别采用阈值分割和灰度邻域属性法消除白噪声及孤点噪声;

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  • The image threshold segmentation algorithm based on the Particle Swarm Optimization (PSO) combined with the rough entropy based on boundary region is presented.

    提出一种基于微粒群优化(PSO)的边界区域粗糙熵的阈值图像分割算法。

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  • By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image.

    综合运用阈值分割、边缘识别和像素标记法等图像识别技术,通过图像得到每个模型的相关定位信息。

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  • This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).

    文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。

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  • Combining the two essential characteristics of the image, the gradient and the gray level, a threshold segmentation approach using maximum entropy with the gradient boundary control was proposed.

    结合梯度和灰度这两种图像的本质特征,提出一种基于边界梯度控制的最大熵阈值分割方法。

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  • Finally, compared with the conventional method of threshold segmentation, the result of the treatment of actual field pictures shows that this algorithm is more effective for the road recognition.

    与传统的阈值分割算法的对比处理试验表明,此识别算法可以明显地改善路径识别效果。

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  • The image after - processing was made based on the combination of Label Region and Threshold Segmentation.

    最后,结合区域标识和面积阈值分割等方法进行了后处理操作。

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  • The image after - processing was made based on the combination of Label Region and Threshold Segmentation.

    最后,结合区域标识和面积阈值分割等方法进行了后处理操作。

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