An evaluation device comprising: a projector configured to project a pattern having an edge component onto an object ; an imaging device configured to capture an image of the object ; wherein the imaging device captures the image of the object using a spectral camera, an image converter configured to convert the image of the object into spectral image data using first spectral data obtained by capturing the image of the object and second spectral data obtained by capturing an image of a reference whiteboard, a binarizing unit configured to binarize lightness image data with a prescribed threshold based on the spectral image data to obtain a number for an amount of change in shape of an edge of the pattern ; an edge-component linear approximation unit configured to calculate an approximate straight line for shape-changing positions of edges of the binarized lightness image data; a deviation calculator configured to calculate changes in edge with reference to the approximate straight line; a frequency characteristics calculator configured to calculate frequency characteristics of the changes in edge; a visual-character correction unit configured to assign a weight to the frequency characteristics of the changes in edge using data that reflects characteristics of human visual perception; and an integration calculator configured to integrate the weighted frequency characteristics, a reflective-property correction unit configured to correct the integrated value of the object by correcting an amount of change in shape of a virtual image of the pattern reflected in the object , using reflective-property data of a surface of the object ; an evaluation-value calculator configured to evaluate image clarity of the surface of the object based on the corrected amount of change. a projector configured to project a pattern having an edge component onto an object ; an imaging device configured to capture an image of the object ; wherein the imaging device captures the image of the object using a spectral camera, an image converter configured to convert the image of the object into spectral image data using first spectral data obtained by capturing the image of the object and second spectral data obtained by capturing an image of a reference whiteboard, a binarizing unit configured to binarize lightness image data with a prescribed threshold based on the spectral image data to obtain a number for an amount of change in shape of an edge of the pattern ; an edge-component linear approximation unit configured to calculate an approximate straight line for shape-changing positions of edges of the binarized lightness image data; a deviation calculator configured to calculate changes in edge with reference to the approximate straight line; a frequency characteristics calculator configured to calculate frequency characteristics of the changes in edge; a visual-character correction unit configured to assign a weight to the frequency characteristics of the changes in edge using data that reflects characteristics of human visual perception; and an integration calculator configured to integrate the weighted frequency characteristics, a reflective-property correction unit configured to correct the integrated value of the object by correcting an amount of change in shape of a virtual image of the pattern reflected in the object , using reflective-property data of a surface of the object ; an evaluation-value calculator configured to evaluate image clarity of the surface of the object based on the corrected amount of change. <EOS>