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Contour extraction from images with different spectral ranges

机译:从具有不同光谱范围的图像中提取轮廓

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Abstract: The work presents a method for extraction of a thin regularized contour enabling simultaneous processing of the scene images made in various spectral ranges. The method presented can be easily accomplished in the form of a cellular neural network. The basis of the method is the energy function of states of original images, fitted images, and the contour created, which are defined adequately. Optimization of the fitted images and the contour extracted is made with the gradient decrease method in relation to their states. The energy of the states of images is represented as a sum of a few terms corresponding to various effects of the method. The energy of states subjected to the minimization process determines the architecture and dynamics of the neural network.!6
机译:摘要:这项工作提出了一种提取细正则化轮廓的方法,该方法可以同时处理在各种光谱范围内制作的场景图像。提出的方法可以通过细胞神经网络的形式轻松实现。该方法的基础是充分定义的原始图像,拟合图像和创建的轮廓的状态的能量函数。拟合的图像和提取的轮廓的优化是通过相对于其状态的梯度减少方法进行的。图像状态的能量表示为与该方法的各种效果相对应的几个项的总和。经受最小化过程的状态能量决定了神经网络的结构和动力学!6

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