COMPONENT TYPE AUTOMATED ASSESSMENT METHOD, COMPONENT TYPE AUTOMATED ASSESSMENT SYSTEM, METHOD FOR CREATING COMPONENT DATA FOR IMAGE PROCESSING, AND SYSTEM FOR CREATING COMPONENT DATA FOR IMAGE PROCESSING

摘要

Characteristic data of a relevant component is extracted from a component image captured by camera 12, and the extracted characteristic data is compared with reference characteristic data of multiple types of component registered in a database to distinguish a type of component for which the two sets of data match most closely. As a result of this, a power spectrum image is created by applying an FFT for each scanning line to a lead presence candidate region corresponding to a candidate for a lead being present in a component image distinguished as an odd form component. Further, an HLAC characteristic is calculated from the power spectrum image in order to extract a periodic characteristic of the power spectrum image, and a connector component with leads is distinguished from an odd form component by learning a characteristic amount of the LAC characteristic using an SVM. Thereafter, image processing component data is created by extracting characteristic data of the component from the component image in accordance with a distinguishing result of a component type. Alternatively, in a case in which a component is distinguished as a connector component with leads, an image processing algorithm that detects damage and bending of a lead is automatically selected.