| 1. | An improved otsu method for image segmentation
基于灰度梯度映射函数的红外图像分割 |
| 2. | Extended optimal otsu thresholding method of image segmention
最优阈值图像分割的实现方法 |
| 3. | Put forward a new algorithm - - two - dimensional otsu thresholding segmentation based on verdict scope adaptive restriction ( vsar )
提出了基于判决域自动约束( vsar )的二维otsu阈值分割算法。 |
| 4. | 18 otsu n . a threshold selection method from gray - level histogram . ieee transaction systems , man cybernetics , 1979 , 9 : 62 - 66
识别器为三个分类器的并行组合，包括神经网络k近邻分类器和基于模糊的k近邻分类器。 |
| 5. | One basis of the algorithm is otsu ' s discriminant criterion . the adaptive target segmentation of welding seam image is realized . the effect of t
该算法以otsu判别准则为基础，结合焊缝区域模型进行焊缝图象的自适应目标分割，具有较好的分割效果。 |
| 6. | The algorithms of fire image enhancement , noise filtering , the maximum entropy threshold segmentation , region growth , otsu threshold segmenting and their applications in the fire image processing have been studied in this dissertation
本文详细地研究了火灾图像的增强处理、噪声滤除、最大熵阈值分割、区域生长和otsu阈值分割等算法及其在火灾图像处理中的应用。 |
| 7. | In research of forest fire auto - recognition , the paper discusses digital image processing with wavelet theory and nn . image de - noise processes in wavelet domain by wavelet transform and automatically segments by otsu method , wsa and kohonen nns
森林火灾图像经小波分解后，在小波域中予以去噪预处理，并借助阈值化图像分割技术、 wsa与kohonen神经元网络自动分割图像。 |
| 8. | The detection algorithms are classified into two categories according to target size . for segmenting larger targets , a modified pcnn algorithm is proposed . otsu algorithm and genetic algorithm are compared and analyzed with the proposed one
针对较大目标，在理解脉冲耦合神经网络(以下简称为pcnn )算法的基础上，文中提出了一种改进的pcnn算法，并与传统的otsu算法、遗传算法进行了比较。 |
| 9. | It is known that if there is defection on the glass - shell , it must be identified exactly . in order to extract the defect , some image segmentation methods are studied , such as differential histogram method , otsu method , and histogram method
为了将气泡及划痕等缺陷从图象中分割出来，本文研究了玻壳图象的分割方法，包括微分直方图法、 otsu法、直方图法，最终选用微分直方图法来分割图象。 |
| 10. | Experimental results show that i - casda obtains better results than n . otsu and casda , consuming time less than 0 . 01 second . in the module of character recognition , based on the step of feature extracting cascading classifier - based and svm - based character recognition methods are proposed
实验结果表明，应用该算法对一幅牌照图象进行二值化处理，消耗时间在0 . 01秒以下，优于n . otsu算法和casda算法。 |
