Patent ID: 9008440
Filing Date: 2015-04-14
Classification: G06K,G06T

Abstract:
1. A component recognizing apparatus, comprising one or more processors configured to embody a plurality of functional units including: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result, wherein after extracting a first component feature from a binary component region when the component region is converted into a binary image and extracting a second component feature from a grey component region when the component region is converted into a grey image, the feature extracting unit combines the detected first component feature and the detected second component feature, and creates the feature vector therefrom, wherein the first component feature is a first component edge and the second component feature is a second component edge, and wherein the edge detecting techniques include a second derivative calculation technique and a local adaptive binarization technique.