In the previous post, you learned some basic feature extraction algorithms in OpenCV. The features are extracted in the form of classifying pixels. These indeed abstract the features from images because you do not need to consider the different color channels of each pixel, but to consider a single value. In this post, you will […]
The post Image Feature Extraction in OpenCV: Keypoints and Description Vectors appeared first on MachineLearningMastery.com.
In the previous post, you learned some basic feature extraction algorithms in OpenCV. The features are extracted in the form of classifying pixels. These indeed abstract the features from images because you do not need to consider the different color channels of each pixel, but to consider a single value. In this post, you will
The post Image Feature Extraction in OpenCV: Keypoints and Description Vectors appeared first on MachineLearningMastery.com. Read More OpenCV, image classification, k-nearest neighbors, knn, opencv