The present invention is a system and method for identifying certain physical properties of human feet. The system uses electronic and optical elements to perform before and after pronation test and before and after arch tests (meaning before and after use of an orthotic), and develop a 360 degree, three-dimensional view of the foot.

A peer-review flagging system is operable to train a computer vision model and to generate automated assessment data by performing an inference function on a first medical scan by utilizing the computer vision model. Human assessment data is generated based on a first medical report written by a medical professional in conjunction with review of the first medical scan. First consensus data is generated based on the automated assessment data, the human assessment data, and a first threshold, and the first medical scan is determined to be flagged based on the first consensus data. A second threshold is selected use in generating second consensus data for a second medical scan and a second medical report written by the medical professional in conjunction with review of the second medical scan, and is selected to be stricter than the first threshold based on determining to flag the first medical scan.

A peer-review flagging system is operable to train a computer vision model and to generate automated assessment data by performing an inference function on a first medical scan by utilizing the computer vision model. Human assessment data is generated based on a first medical report written by a medical professional in conjunction with review of the first medical scan. First consensus data is generated based on the automated assessment data, the human assessment data, and a first threshold, and the first medical scan is determined to be flagged based on the first consensus data. A second threshold is selected use in generating second consensus data for a second medical scan and a second medical report written by the medical professional in conjunction with review of the second medical scan, and is selected to be stricter than the first threshold based on determining to flag the first medical scan.

An image processing device according to one embodiment includes a calculation unit and a setting unit. The calculation unit calculates a degree of complexity indicating a degree of positional dispersion of edges in a target region where a text region is to be extracted. The setting unit sets an edge threshold for detecting the text region to low as the degree of complexity is low.

An image processing device according to one embodiment includes a calculation unit and a setting unit. The calculation unit calculates a degree of complexity indicating a degree of positional dispersion of edges in a target region where a text region is to be extracted. The setting unit sets an edge threshold for detecting the text region to low as the degree of complexity is low.

A method for detecting a defect on a surface of a tire includes automated steps of: calculating values of a gradient of a plurality of texture parameters from an image of the surface of the tire, determining an image of the gradient, and thresholding of the image of the gradient to obtain a thresholded image.

Some embodiments of the present disclosure provide a content integration system. The content integration system is configured to retrieve a source digital content, retrieve a target digital content, identify a region within the target digital content for placing or integrating the source digital content, and place or integrate the target digital content onto the identified region of the source digital content. The content integration system can be configured to place the source digital content into the target digital content in an aesthetically-pleasing, unobtrusive, engaging, and/or otherwise favorable manner. The content integration system can be particularly useful for advertisements, enhanced expression, entertainment, information, or communication.

Some embodiments of the present disclosure provide a content integration system. The content integration system is configured to retrieve a source digital content, retrieve a target digital content, identify a region within the target digital content for placing or integrating the source digital content, and place or integrate the target digital content onto the identified region of the source digital content. The content integration system can be configured to place the source digital content into the target digital content in an aesthetically-pleasing, unobtrusive, engaging, and/or otherwise favorable manner. The content integration system can be particularly useful for advertisements, enhanced expression, entertainment, information, or communication.

A system for predicting occurrence of a defective image includes: an input device configured to input image data into an image forming apparatus; and a hardware processor configured to analyze a spatial frequency of gradient distribution of an image in accordance with a size of a density irregularity specific to the image forming apparatus with respect to the input image data and to calculate a probability of a conspicuous density irregularity of the size in regard to the image formed by the image forming apparatus based on the image data with reference to an index of correlation between an analysis result and an evaluation value of the density irregularity.

One embodiment can include a system for providing an image-capturing recommendation. During operation the system receives, from a mobile computing device, one or more images. The one or more images are captured by one or more cameras associated with the mobile computing device. The system analyzes the received images to obtain image-capturing conditions for capturing images of a target within a physical space; determines, based on the obtained image-capturing conditions and a predetermined image-quality requirement, one or more image-capturing settings; and recommends the determined one or more image-capturing settings to a user.