An optical detection device of detecting a distance relative to a target object includes a substrate, an optical sensor and a processor. The optical sensor is disposed on the substrate and adapted to capture an image about the target object. The processor is disposed on the substrate and electrically connected with the optical sensor. The processor is adapted to mark a first region and a second region within the image for acquiring first quantity of the first region and second quantity of the second region, and compare the first quantity with the second quantity for determining whether the distance is varied to a predefined condition.

An automatic separating and identifying system of insects on leaves that includes an insects separation system, an insects dispersing system, and an insects identification system. The insects separation system includes a circulating container and water circulation mechanism. The dispersing system includes an examination mesh that is designed to receive the water with the insects. The identification system includes a camera, lighting means, a computer with a database and algorithm, and is designed to identify types and amounts of the insects on the examination mesh.

A video analyzer measures and outputs a visual indication of a dynamic range of a video signal. The video analyzer includes a video input to receive the video signal and a cumulative distribution function generator generates a cumulative distribution function curve from a component of the video signal. A feature detector generates one or more feature vectors from the cumulative distribution function curve and a video dynamic range generator produces a visual output indicating a luminance of one or more portions of the video signal.

A main image includes a tomographic image and a reference image as ultrasonic images. A sub-image includes a site-of-interest map and a site-of-interest list. During execution of ultrasonic inspection, each time a new site of interest is identified, a site-of-interest symbol is added to the site-of-interest map and a site-of-interest record is added to the site-of-interest list. The position of the site-of-interest symbol is determined according to the position of a probe mark.

Embodiments relate a keypoint detection circuit for identifying keypoints in captured image frames. The keypoint detection circuit generates an image pyramid based upon a received image frame, and determine multiple sets of keypoints for each octave of the pyramid using different levels of blur. In some embodiments, the keypoint detection circuit includes multiple branches, each branch made up of one or more circuits for determining a different set of keypoints from the image, or for determining a subsampled image for a subsequent octave of the pyramid. By determining multiple sets of keypoints for each of a plurality of pyramid octaves, a larger, more varied set of keypoints can be obtained and used for object detection and matching between images.

A photo design smart assistant system for reducing similar photos for display and product design includes a similarity distance computation module that can calculate hash values of images and to calculate similarity distances between the images using at least the hash values, a burst grouping module that can automatically group the images into a burst based at least in part on the similarity distances of the images, wherein at least one image is automatically selected from the burst of images, an intelligent design creation engine that can automatically create a photo product design using the selected image from the burst, and a printing and finishing facility that can automatically make a physical photo product based on the photo product design.

A photo sensor array is divided up into multiple blocks that are operated with different exposure times. A prediction algorithm is used to predict the overall light brightness of each block and determine the exposure time of each block. Each block may also include memory to store the exposure time for the pixels in the block as well as analog-to-digital resolution for the block.

An ophthalmologic apparatus comprises eye information obtaining portions, each of the eye information obtaining portions corresponding to each of subject eyes of a subject and configured to obtain information on each of the subject eyes; imaging portions, each of the imaging portions corresponding to each of the eye information obtaining portions and configured to capture a subject eye image of each of the subject eyes; a reference calculator configured to obtain a three-dimensional reference position in each of the subject eye images captured by each of the imaging portions; an inclination calculator configured to obtain inclination information indicating inclination of relative positions of the subject eyes from the obtained three-dimensional reference positions in the subject eye images; and a notification portion configured to notify the obtained inclination information.

A method for calculating and reporting image quality properties of an image acquisition device after a subject or object has been scanned consists of a scan quality monitoring system with automated software for receiving scans and radiation dose data from scanners and automated algorithms for analyzing image quality metrics and radiation dose tradeoffs. Image quality assessment methods include algorithms for measuring fundamental imaging characteristics, level and type of image artifacts, and comparisons against large databases of historical data for the scanner and protocols. Image quality reports are further customized to report on expected clinical performance of image detection or measurement tasks.

An attached substance detection device according to an embodiment includes a calculation unit and a determination unit. The calculation unit calculates a score of a divided region that is provided by dividing a predetermined target region, based on an edge intensity in each pixel region of a captured image that is captured by an image-capturing device. The determination unit determines whether or not the target region is an attached substance region where an attached substance is attached to a lens of the image-capturing device, based on the score that is calculated by the calculation unit.