Feature extraction (FE) is an important step in image retrieval, image processing, data
mining and computer vision. FE is the process of extracting relevant information from raw …

Deep learning is presently an effective research area in machine learning technique and
pattern classification association. This has achieved big success in the areas of application …

Feature Extraction for Image Processing and Computer Vision is an essential guide to the
implementation of image processing and computer vision techniques, with tutorial …

Feature extraction is the main core in diagnosis, classification, clustering, recognition, and
detection. Many researchers may by interesting in choosing suitable features that used in …

Image analysis is a prolific field of research which has been broadly studied in the last
decades, successfully applied to a great number of disciplines. Since the apparition of Big …

Feature extraction is an important step in image classification. It allows to represent the
content of images as perfectly as possible. However, in this paper, we present a comparison …

Nowadays, a huge amount of data is generated every day in continuous manner in every
hour and if the data is not utilized in the right or meaningful manner then this is just like …

Feature extraction and matching is at the base of many computer vision problems, such as
object recognition or structure from motion. Current methods for assessing the performance …

In research of pattern recognition, we always want to achieve the correct classification rate
according to the characteristics required. Feature extraction greatly affects the design and …

Robustness to noises, outliers, and corruptions is an important issue in linear dimensionality
reduction. Since the sample-specific corruptions and outliers exist, the class-special …