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What is feature identification?
Feature identification is a well-known technique to identify subsets of a program source code activated when exercising a functionality. We present an approach to feature identification and comparison for large object-oriented multi-threaded programs using both static and dynamic data.
What is a feature in an image?
In computer vision and image processing, a feature is a piece of information which is relevant for solving the computational task related to a certain application. Features may be specific structures in the image such as points, edges or objects.
What are local features of an image?
Local features refer to a pattern or distinct structure found in an image, such as a point, edge, or small image patch. They are usually associated with an image patch that differs from its immediate surroundings by texture, color, or intensity.
What is color features in image?
The color features are used for matching between the query image and images in the database. They also computed the color histograms from the color components of the query image and compare them with a number of top-ranked images from the first step.
What is feature description?
Feature descriptors encode interesting information into a series of numbers and act as a sort of numerical “fingerprint” that can be used to differentiate one feature from another.
What are low level features of an image?
low level image features are image characteristics that are captured by computers for the purpose of recognition and classification (such as pixel intensity, pixel gradient orientation, color), while semantic image features are the features commonly used by human to describe images (objects, actions).
What is meant by feature extraction?
Feature extraction is a process of dimensionality reduction by which an initial set of raw data is reduced to more manageable groups for processing. A characteristic of these large data sets is many variables that require a lot of computing resources to process.
Which is a feature extraction technique?
Feature extraction a type of dimensionality reduction that efficiently represents interesting parts of an image as a compact feature vector. This approach is useful when image sizes are large and a reduced feature representation is required to quickly complete tasks such as image matching and retrieval.
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