| 摘要 |
<p>A method and system for quickly comparing a target image (110) with candidate images in a database, and for extracting those images in the database that best match the target image. The method uses a fundamental comparison technique (170) based on the decomposition of the images into 'blobs'. A given image is modified so as to reduce detail. Cohesive regions of the reduced-detail image are transformed into uniform-color blobs. Statistics are generated (15) for each such blob, characterizing, for example, its area, color, location and shape, and also, optionally, measures of the texture of the corresponding area in the original image. An image-similarity score is computed for any pair of images from the blob-specific image statistics. The image-similarity measure is computed by placing the blobs of the target image in one-to-one correspondence (510) with blobs of the candidate image, generating blob-similarity scores (520) over these paired blobs from the pre-computed blob-specific statistics of the images, and generating an overall image similarity score (600) as a function of the blob-similarity scores.</p> |
