Based on the Fourier transform, a new shape descriptor was proposed to represent the flame image. By employing the shape descriptor as the input, the flame image recognition was studied by the methods of the artificia...Based on the Fourier transform, a new shape descriptor was proposed to represent the flame image. By employing the shape descriptor as the input, the flame image recognition was studied by the methods of the artificial neural network(ANN) and the support vector machine(SVM) respectively. And the recognition experiments were carried out by using flame image data sampled from an alumina rotary kiln to evaluate their effectiveness. The results show that the two recognition methods can achieve good results, which verify the effectiveness of the shape descriptor. The highest recognition rate is 88.83% for SVM and 87.38% for ANN, which means that the performance of the SVM is better than that of the ANN.展开更多
文中提出了一种基于四叉树的改进的ORB(Oriented FAST and Rotated BRIEF)特征提取算法,它能够解决图像特征提取过程中特征点过于集中而导致的图像局部特征信息丢失的问题。首先,将图片构造成图像金字塔来解决尺度不变性问题;然后,在每...文中提出了一种基于四叉树的改进的ORB(Oriented FAST and Rotated BRIEF)特征提取算法,它能够解决图像特征提取过程中特征点过于集中而导致的图像局部特征信息丢失的问题。首先,将图片构造成图像金字塔来解决尺度不变性问题;然后,在每一层金字塔图像上检测角点来提取特征点;接着,引入四叉树算法来均匀化分布特征点并计算特征点的方向和描述子;最后,以华硕深度摄像头(Xtion PRO)为实验工具,在室内环境下提取周边特征点,并将提取效果与其他方法进行对比,实验证明了所提算法在图像特征均匀化处理方面的快速性以及准确性。展开更多
基金Project(60634020) supported by the National Natural Science Foundation of China
文摘Based on the Fourier transform, a new shape descriptor was proposed to represent the flame image. By employing the shape descriptor as the input, the flame image recognition was studied by the methods of the artificial neural network(ANN) and the support vector machine(SVM) respectively. And the recognition experiments were carried out by using flame image data sampled from an alumina rotary kiln to evaluate their effectiveness. The results show that the two recognition methods can achieve good results, which verify the effectiveness of the shape descriptor. The highest recognition rate is 88.83% for SVM and 87.38% for ANN, which means that the performance of the SVM is better than that of the ANN.
文摘文中提出了一种基于四叉树的改进的ORB(Oriented FAST and Rotated BRIEF)特征提取算法,它能够解决图像特征提取过程中特征点过于集中而导致的图像局部特征信息丢失的问题。首先,将图片构造成图像金字塔来解决尺度不变性问题;然后,在每一层金字塔图像上检测角点来提取特征点;接着,引入四叉树算法来均匀化分布特征点并计算特征点的方向和描述子;最后,以华硕深度摄像头(Xtion PRO)为实验工具,在室内环境下提取周边特征点,并将提取效果与其他方法进行对比,实验证明了所提算法在图像特征均匀化处理方面的快速性以及准确性。
