Sentence examples for image feature extraction from inspiring English sources

SARI uses a unique watermarking technique for image feature extraction and embedding.

Image feature extraction is a key technique in image recognition and computer vision.

Image feature extraction constitutes a fundamental task in robotic vision applications.

In this paper, a soft sparse coding neural response (SSCNR) was proposed for image feature extraction.

Therefore, it has become one of the major challenges to improve the processing speed of image feature extraction algorithms.

A classical four-step approach has been adopted (i.e. image acquisition, image feature extraction, image and model feature matching, and camera pose computing).

In addition to the texture features, the local image features extraction attracting increasing attention in recent years.

According to the types of features extracted from brain images, feature extraction methods can be roughly grouped into voxel-based, vertex-based, and ROI-based ones [38].

A hyperspectral remote sensing images feature extraction method, i.e., discrete cosine transform (DCT) spectral regression discriminant analysis (SRDA) subspace method, was presented to solve the above problems.

The paper focused on the processing of satellite images particularly on image scaling, feature extraction and image recognition.

First, a principle framework is described for image blind steganalysis, which includes four parts: image pretreatment, feature extraction, classifier selection and design, and classification.