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An image matching and object recognition system using webcam robot

机译:使用网络摄像头机器人的图像匹配和目标识别系统

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摘要

Finding relation among multiple images is a core and vital step in the field of computer vision. This can be achieved if we can track correspondence over consecutive frames in an image and then matching among them can be identified. This paper proposes a precise approach for image matching in real time scenario and also in the field of ROBOTICS. We are constructing an application based Image matching model that can detect images that are exactly the same, as well as images that have been edited in some ways. Implementation of this Image Matching and object recognition system is based on tracking an object, calculating its feature Points, and classification with the help of trained Data Sets. The system is capable to perform matching of images, both automatically and manually. On the other hand, to operate the proposed system manually, user itself takes the images of an object or something, and will store it in database. After that system will through some steps, and image matching will be performed. Black & White point calculation of an image, Chamfer matching Algorithm, 3-4 Distance Transformation with canny edge detector is applied in the application which is well suited for calculating the pixel values. The whole system is reliable and capable to match the two images in Digital Image Processing.
机译:在多幅图像之间寻找关系是计算机视觉领域的核心和至关重要的一步。如果我们可以跟踪图像中连续帧的对应关系,然后可以识别它们之间的匹配,则可以实现此目的。本文提出了一种在实时场景以及机器人领域中进行图像匹配的精确方法。我们正在构建一个基于应用程序的图像匹配模型,该模型可以检测完全相同的图像以及已通过某些方式编辑过的图像。该图像匹配和对象识别系统的实现是基于跟踪对象,计算其特征点并借助训练有素的数据集进行分类。该系统能够自动和手动执行图像匹配。另一方面,为了手动操作所提出的系统,用户本身会拍摄对象或物体的图像,并将其存储在数据库中。之后,系统将执行一些步骤,然后将执行图像匹配。应用中应用了图像的黑白点计算,倒角匹配算法,带有Canny边缘检测器的3-4距离变换,非常适合计算像素值。整个系统可靠,能够在数字图像处理中匹配两个图像。

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