Identifying consumer products in images
Systems and methods identify consumer products in images. Known consumer products are captured as grayscale or color images. They are converted to binary at varying thresholds. Connected components in the binary images identify image features according to pixels of a predetermined size, shape, solidity, aspect ratio, and the like. The image features are stored and searched for amongst image features similarly extracted from unknown images of consumer products. Identifying correspondence between the features of the images lends itself to identifying or not known consumer products.
1. A method for identifying consumer products in images, comprising:
receiving first images of known consumer products;
receiving second images of unknown consumer products;
finding three image features in each of the first and the second images, each of the image features having a centroid;
devising triangles between the centroids of the three image features in said each of the first and the second images; and
determining if the triangles are similar to identify or not possible matches of the known consumer products within the second images, further including binarizing each pixel of the first and second images as a black or white pixel according to three threshold scales to obtain three binarized images corresponding to the first and second images, wherein said each pixel ranges in pixel value intensity from 0-255 and a binarized pixel is either classified as said black or white pixel according to one of said three threshold scales ranging in said pixel value intensity from 0-63, 0-127, or 0-191 for black pixels and 64-255, 128-255, or 192-255 for white pixels.
2. The method of claim 1 , further including identifying connected components in the first and second images.
3. The method of claim 2 , further including filtering the connected components to exclude from the three image features in said each of the first and second images the connected components not meeting a predefined size, a predefined aspect ratio, a predefined shape or a predefined limit of solidity.
4. The method of claim 1 , further including standardizing a size of each image feature of the three image features in said each of the first and second images.
5. The method of claim 1 , further including storing the three image features of the first images, including storing the centroids.
6. The method of claim 1 , determining whether the three image features of the second images appear in the second images where expected upon comparison to the three image features of the first images.