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2)Q
A feature detector finds regions of interest in an image. The input into a feature detector is an image, and the output are pixel coordinates of the significant areas in the image.
A feature descriptor encodes that feature into a numerical “fingerprint”. Feature description makes a feature uniquely identifiable from other features in the image.
Perspective Transformation
For getting better information about an image, w can change the perspective of a video or an image. In this transformation, we need to provide the points on an image from where we want to take information by changing the perspective. In OpenCV, we use two functions for Perspective transformation getPerspectiveTransform() and then warpPerspective().
It is a very useful technique when we required scaling in object detection. OpenCV uses two common kinds of image pyramids Gaussian and Laplacian pyramid. Use the pyrUp() and pyrDown() function in OpenCV to downsample or upsample a image.
Cropping
It is one of the most important and fundamental techniques in image processing, Cropping is used to get a particular part of an image. To crop an image. You just need the coordinates from an image according to your area of interest.
These are two fundamental image processing operations. These are used to removing noises, finding an intensity hole or bump in an image and many more.
Perspective Transformation
For getting better information about an image, w can change the perspective of a video or an image. In this transformation, we need to provide the points on an image from where we want to take information by changing the perspective. In OpenCV, we use two functions for Perspective transformation getPerspectiveTransform() and then warpPerspective().
Image Pyramids
It is a very useful technique when we required scaling in object detection. OpenCV uses two common kinds of image pyramids Gaussian and Laplacian pyramid. Use the pyrUp() and pyrDown() function in OpenCV to downsample or upsample a image.
Cropping
It is one of the most important and fundamental techniques in image processing, Cropping is used to get a particular part of an image. To crop an image. You just need the coordinates from an image according to your area of interest. For a complete analysis, check the below code in OpenCV.
Scaling, Interpolations, And Re-Sizing
Re-sizing is one of the easiest tasks in OpenCV. It provides a resize() function which takes parameters such as image, output size image, interpolation, x scale, and y scale.
Contours
Image Contours – It is a way to identify the structural outlines of an object in an image. It is helpful to identify the shape of an object. OpenCV provides a findContours function in which you need to pass canny edges as a parameter.