Disease recognition from images having a large field of view

In an embodiment， a computer-implemented method of detecting infected objects from large field-of-view images is disclosed. The method comprises receiving， by a processor， a digital image capturing multiple objects; generating， by the processor， a plurality of scaled images from the digital image respectfully corresponding to a plurality of scales; and computing a group of feature matrices for the digital image. The method further comprises， for each of the plurality of scaled images. selecting a list of candidate regions from the scaled image each likely to capture a single object; and for each of the list of candidate regions， performing the following steps: mapping the candidate region back to the digital image to obtain a mapped region; identifying a corresponding portion from each of the group of feature matrices based on the mapping; and determining whether the candidate region is likely to capture the single object infected with a disease based on the group of corresponding portions. In addition， the method comprises choosing a group of final regions from the lists of mapped regions based on the determining; and causing display of information regarding the group of final regions.