Image data processing method, system and electronic device determining similar target image

An image data processing method, comprising steps of:

• S1, acquiring information of to-be-processed database data and a contrast image, and recording the to-be-processed database data as a target image set;
• S2, performing sharpness calculation on each of target images in the target image set by a weighted gradient algorithm, setting a sharpness threshold, and removing, if sharpness of the target images is smaller than the sharpness threshold, the target images from the target image set,
• wherein a method of performing sharpness calculation on the target images in the target image set by the weighted gradient algorithm is:
• D(f)=αΣxΣy|f(x+2,y)−f(x,y)|2+βΣxΣy|G(x,y)|,
• in which, D(f) is sharpness, f(x, y) is a gray-scale value of a corresponding pixel point (x, y) of a target image f, x and y respectively represent abscissa and ordinate of the pixel point, G(x, y) is convolution of Laplacian operator of the pixel point (x, y), α and β are weighted values, and α+β=1;
• S3, performing sharpness enhancement processing on remaining target images in the target image set;
• S4, performing, after the sharpness enhancement processing, extraction on the remaining target images in the target image set and the contrast image one by one, to obtain feature points, and comparing and analyzing the extracted feature points;
• and
• S5, comparing and judging, based on the feature points obtained in S4, similarity between the remaining target images in the target image set and the contrast image by a similarity algorithm, creating classified storage spaces within a database, and inputting similar target images into the classified storage spaces, wherein the similar target images are corresponding target images having similarity within a set similarity threshold range.