A Review of Feature Extraction Techniques for Image Analysis

Abstract: Feature extraction is the most important step in image classification. It helps in extracting the feature of an image as ideal as possible. Feature extraction techniques are applied to get the feature that will be useful in classifying and recognizing the images. In this paper, we reviewed various feature extraction techniques. These methods are classified as low-level feature extraction and High-level feature extraction. Low-level feature extractions are based on finding the points, lines, edge, etc while high level feature extraction methods use the low level feature to provide more significant information for further processing of Image analysis. Mostly high-level feature extraction method uses the Artificial Neural Network (ANN) to extract the feature in multiple layers. Keywords: Feature extraction, Image classification, ANN.