The invention relates to feature extraction technique based on edge extraction. It can be used in computer vision systems, including image/facial/object recognition systems, scene interpretation and classification and captioning systems. It uses a model or profile of the noise in the sensor to improve feature extraction or object detection on an image from a sensor which may be linear data in the RAW domain. The model may be used to normalise feature extraction response. The extraction/detection may be based on edge detection possibly involving convolution of the edge response with a filter kernel e.g. a Gabor or CNN filter, a linear classifier such as a support vector machine (SVM) or the classification layer of a convolutional neural network (CNN).
Sensor noise profile