MOVING-EDGE DETECTOR

Moving-edge detectors are a type of feature detectors used in computer vision and image processing. They are used to identify edges, or changes in the intensity or color of an image, which can indicate the presence of an object or shape. They are often used in applications such as object recognition, motion analysis, and object tracking. In this article, we will discuss the basic principles of moving-edge detection, its applications, and the different types of moving-edge detectors.

The basic principle of moving-edge detection is the detection of rapid changes in the intensity or color of an image. This is usually done by comparing two or more images of the same scene or object at different times. By analyzing the differences between the two images, it is possible to identify the boundaries between different objects or shapes in the scene.

Moving-edge detectors are used in a variety of applications, including object recognition, motion analysis, and object tracking. In object recognition, moving-edge detectors can be used to locate the edges of objects, which can then be used to identify the objects. In motion analysis, they can be used to detect changes in the motion of objects, which can be used to track the motion of the objects. In object tracking, they can be used to identify objects in a scene, which can then be used to track the position of the objects.

There are several types of moving-edge detectors, including the Sobel operator, Canny edge detector, and the Prewitt operator. The Sobel operator is the most popular type of moving-edge detector. It uses two kernels, one for detecting vertical edges and one for detecting horizontal edges. The Canny edge detector is based on the Sobel operator, but it uses a more sophisticated technique for detecting edges. The Prewitt operator is a simpler moving-edge detector that uses only a single kernel.

In conclusion, moving-edge detectors are a type of feature detectors used in computer vision and image processing. They are used to identify edges, or changes in the intensity or color of an image, which can indicate the presence of an object or shape. They are often used in applications such as object recognition, motion analysis, and object tracking. There are several types of moving-edge detectors, including the Sobel operator, Canny edge detector, and the Prewitt operator.

References

Bosch, A., & Zisserman, A. (2007). Image feature detection and matching. Springer Science & Business Media.

Canny, J. (1986). A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 8(6), 679–698.

Li, L., & Liu, Y. (2010). Moving Edge Detection Based on the Spatial Gray-Level Dependence Matrix. Journal of Computer and Communications, 2(08), 15–20.

Prewitt, J. M. (1970). Object enhancement and extraction. Picture processing and psychopictorics, 29–66.

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