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1)  Top-hat operator
Top-hat算子
1.
First sup-presses the background clutter and segmenting the possible targets by Top-hat operator,then filtrating the true targets accord ing to the principle ofmoving continuity and trajectory consistency ofmoving targets i.
针对复杂背景红外序列中小目标检测问题,提出了基于形态学Top-hat算子和运动连续性的目标检测算法。
2.
A novel method for self adapting morphological Top-Hat operator and improved self adapting threshold in spot target detection was presented.
针对红外序列图像中运动弱小目标的检测问题,提出了一种基于自适应形态学Top-Hat算子和改进的自适应门限的弱小目标检测方法,其中形态学滤波器的结构元素采用两层前馈神经网络通过大量样本训练优化。
3.
A new morphological Top-hat operator with genetic algorithm is pre-sented in this paper.
本文在传统形态学算子基础上提出了一种遗传算法优化的形态学Top-Hat算子。
2)  Top-hat [英]['tɔp'hæt]  [美]['tɑp'hæt]
Top-hat算子
1.
The proposed method is based on the Top-hat operator.
为了实现数字乳腺图像中钙化点的自动检测,提出了一种基于Top-hat算子的钙化点检测方法。
3)  Top-Hat operator
Top-Hat 算子
1.
Morphological filter is introduced and a new improved Top-Hat operator is used in background suppression of IR image in this paper.
文中介绍了形态滤波,并采用改进后的 Top-Hat 算子对于红外小目标图像的背景进行抑制,实验结果表明此方法对于红外小目标图像具有良好的背景抑制的效果。
4)  Top-Hat operation
Top-Hat运算
1.
After analyzing traditional image difference subtraction algorithm, based on the theory of mathematical morphology, Top-Hat operation algorithm is chosen to remove image noise and perform the task of object detection based on gray morphology theory.
在分析传统的差影减法实现目标检测算法的的基础上,基于灰度数学形态学原理,采用Top-Hat运算去除图像噪声并完成纸病图像的可疑目标的快速检测。
5)  Top-Hat filter
Top-Hat滤波
1.
Finally after a mean filter and Top-Hat filter,the largest absolute contrast gradient adaptive threshold is used to perform segmentation,and experiments show that this method is effective.
最后采用先均值后形态学Top-Hat滤波,最大绝对对比度自适应门限的方法进行分割,实验表明该方法是有效的。
6)  Top-Hat transformation
Top-Hat变换
1.
A way is proposed about morphology application to airfield target recognition, Through the steps of Top-Hat transformation, Skeleton form, Pruning and threshold value, the airport runway target can be extracted.
阐述了数学形态学的基本思想和基本运算,分析了机场目标的特点,设计了一种将数学形态学应用于机场目标识别的方法,通过Top-Hat变换、抽骨架、剪枝、阈值化等步骤,可以提取出机场跑道目标,实验结果验证了这一方法的正确性和有效性。
2.
A new approach based on homomorphic filtering and morphologic Top-hat transformation is pro-posed to solve the above problem.
针对乳腺数字图像中有些钙化点与周围背景对比度较小,计算机自动提取钙化点具有一定难度的问题,提出了采用同态滤波与形态学Top-hat变换相结合提取钙化点的算法。
3.
To improve the detectability of the Top-hat transformation and suppress the effect of noises or clutters,a new class of Top-hat transformation is proposed.
为了简单有效地提高Top-hat变换的目标检测能力,降低噪声及复杂背景对其性能的影响,提出了一类新的Top-hat变换。
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