- Abstract The Local Binary Pattern (LBP) operator and its variants play an important role as the image feature extractor in the textural image retrieval and classification. The LBP-based operator extracts the textural information of an image by considering the neighboring pixel values. A single or join histogram can be derived from the LBP code which can be used as an image feature descriptor ...
- computing gradient histograms. normalising across blocks. flattening into a feature vector. The first stage applies an optional global image normalisation equalisation that is designed to reduce the influence of illumination effects. In practice we use gamma (power law) compression, either computing the square root or the log of each color channel.
- from sklearn.feature_extraction.text import CountVectorizer vectorizer = CountVectorizer(lowercase=True,stop_words='english') X = vectorizer.fit_transform(posts.data) Now, X is a document-term matrix where the element X i,j is the frequency of the term j in the document i.
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