Method for processing of multi-channel image recordings for the detection of hidden objects in the optoelectronic checking persons

The invention relates to a method for processing of multi-channel image recordings for the detection of hidden objects in a scene are subjected to the image data from at least two spectrally different camera systems having overlapping fields of view of an image data combination. The task of a new way to process multichannel image capture for the optoelectronic security check found that an improvement of the detection of hidden objects, without the so-called. Occurs Nacktscanner effect of millimeter wave scanning in appearance, is solved according to the invention by - images are recorded as two-dimensional image data into image channels with different frequency ranges, - from the image data of at least one image channel, a mask image is formed, wherein the image data are divided into at least two classes of pixels, - the image data of each image channel in a Gaussian and Laplacian pyramid and the mask image is transformed into an appropriate mask to image pyramid and - the image data of the Laplace pyramids of the individual image channels combined with the mask image pyramid in mutually corresponding pyramid levels, and then the Laplace pyramids are merged from corresponding image dots of the same pyramid level based on a comparison criterion to the resultant Laplacian pyramid.