7 results about "Image content" patented technology

The invention discloses a method for evaluating the quality of an image shot by an unmanned aerial vehicle, which is characterized in that for an image shot by the unmanned aerial vehicle in patrol inspection, the quality of the image is analyzed from the whole image and local details; for blurring generated by focusing misalignment caused by motions or shakes of the unmanned aerial vehicle, a frequency domain sharpness index and the distribution density and orientation features of edge segments in a space domain are firstly fused so as to judge whether an image captured by the unmanned aerial vehicle image is blur or not on the whole; under the condition that the image quality is acceptable on the whole, salient edge regions in the image are further searched, and the local detail blur degree of image edges is judged through analyzing the average width of difference salient edges. The method is applied to images shot by the unmanned aerial vehicle under outdoor conditions, the image quality can be effectively evaluated under various complex backgrounds without being influenced by the image content, and the evaluation is consistent with subjective evaluation of people in grade.

An image processing method includes: capturing image data from a sequence of images of a scene from different but repeatable viewpoints; associating captured images with a respective viewpoint identification; tracking a region of interest in the sequence of images; performing an eigenspace projection for the respective images to calculate respective points in the eigenspace projection; and comparing the calculated points to points previously obtained for a reference image for substantially the same viewpoints. A change between a calculated point and a corresponding previously obtained point indicates a change in the image content of the region of interest between the corresponding captured image and the corresponding reference image for a substantially same viewpoint.

Compared with the prior art, the astronomical mass observation data hybrid retrieval method based on the image content and the metadata comprises the following steps of acquiring a to-be-retrieved observation image; extracting an image file header from a to-be-retrieved image file header to obtain metadata A1; performing image feature extraction processing on the to-be-retrieved image to obtain image feature vector data A2; according to the metadata A1, retrieving from a metadata database by utilizing a metadata index to obtain a first hit data set D1; according to the image feature vector data A2, retrieving from an image feature database by using an image feature index to obtain a second hit data set D2; and performing hit data set intersection processing on the hit data set to obtain afinal detected image data set. Compared with the prior art, the retrieval accuracy of massive astronomical image data can be improved, the retrieval quality and effect can be improved, the massive data query cost can be reduced, and the working efficiency of astronomical workers can be further improved.

The embodiment of the invention is suitable for the technical field of computers, and provides a model training method and device, electronic equipment and a storage medium, wherein the model training method comprises the steps: shielding a part of image content of each first image in at least two first images, and obtaining at least two second images, wherein the at least two first images correspond to at least two image categories, and the similarity between the first images of different categories in the at least two first images is greater than a set value; training a first model based on the at least two first images and the at least two second images; and utilizing the first model obtained by training for identifying the image category of the input image.

A printing method wherein a scanning-type printer, or a printer comprising a page-wide array of multiple printheads, is used for printing an image on a substrate in a plurality of adjacent swaths, the method comprising a step of determining positions of boundaries between the adjacent swaths on the basis of image contents to be printed, preferentially in such a way that artefacts are least likely to be visible.