Patent classifications
G06V30/18105
DETERMINING A CONSISTENT COLOR FOR AN IMAGE
A method may include obtaining an image that includes a connected component that includes a set of pixels, calculating a representative color for the set of pixels, mapping the representative color to an application color in an application color palette of an application, and generating an electronic document that includes a revised version of the connected component in the application color.
IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD
An image processing apparatus has a color image, the image data being constituted by multiple pixels, each of the multiple pixels having a gradation value, and a controller, which is configured to generate a histogram of index values corresponding to brightness values of the multiple pixels constituting the image data, set an original threshold value based on the histogram which is referred to for binarization, detect a mound-shaped part, in the histogram, satisfying a particular condition, set an adjusting direction in which the original threshold value is to be adjusted, set the index value at a base on a particular direction side of a particular mound-shaped part which is one of mound-shaped parts existing on the adjusting direction side with respect to the original threshold value in the histogram as an adjusted threshold value, and apply a binarizing process to the image data using the adjusted threshold value.
Image processing apparatus, image processing method, and storage medium for determining whether a target pixel is a character
An image processing apparatus counts at least one of the number of pixels having an identical color to a target pixel, the number of pixels having a similar color to the target pixel, and the number of pixels having a different color from the target pixel in a target window, and determines an attribute of the target pixel based on a result of the counting.
Session triage and remediation systems and methods
A computer system is provided. The computer system includes a memory and at least one processor coupled to the memory. The at least one processor is configured to scan session data representative of operation of a user interface comprising a plurality of user interface elements; detect, at a point in the session data, at least one changed element within the plurality of user interface elements; classify, in response to detecting the at least one changed element, the at least one changed element as either indicating or not indicating an error; store an association between the error and the point in the session data; and provide access to the point in the session data via the association.
OBJECT DETECTION AND IMAGE CROPPING USING A MULTI-DETECTOR APPROACH
Systems, methods and computer program products for detecting objects using a multi-detector are disclosed, according to various embodiments. In one aspect, a computer-implemented method includes defining an analysis profile comprising an initial number of analysis cycles dedicated to each of a plurality of detectors, where each detector is independently configured to detect objects according to a unique set of analysis parameters and/or a unique detector algorithm. The method also includes: receiving digital video data that depicts at least one object; analyzing the digital video data using some or all of the detectors in accordance with the analysis profile, where the analyzing produces an analysis result for each detector used in the analysis. Further, the method includes updating the analysis profile by adjusting the number of analysis cycles dedicated to at least one of the detectors based on the analysis results.
SEARCH SYSTEM
A search system searches a storage where one electronic document or a plurality of electronic documents is/are stored for an electronic document that satisfies an entered search condition. The search system includes a first processor and a second processor. The first processor manages a feature relating to a color shade of the electronic document as an index of the electronic document and retrieves the electronic document that satisfies the search condition from the storage based on the index. The second processor has an electronic document printed. Managing a feature relating to a color shade of the electronic document as an index of the electronic document includes registering the feature relating to the color shade of the electronic document obtained by analyzing the electronic document as the index of the electronic document and updating, when the electronic document is printed, the index of the electronic document.
SYSTEMS AND METHODS FOR PROVIDING RECOMMENDATIONS BASED ON TRACKED ACTIVITIES
A wearable apparatus is provided for capturing and processing images from an environment of a user. In one implementation, a wearable apparatus for monitoring activities includes a wearable image sensor configured to capture a plurality of images from an environment of a user of the wearable apparatus. The wearable apparatus also includes at least one processing device programmed to analyze the plurality of images to identify in one or more of the plurality of images at least one indicator of an activity, and to transmit, to an external device, the at least one indicator of the activity.
DETECTION OF ANNOTATED REGIONS OF INTEREST IN IMAGES
The present disclosure is directed to systems and methods for identifying regions of interest (ROIs) in images. A computing system may identify an image including an annotation defining an ROI. The image may have a plurality of pixels in a first color space. The computing system may convert the plurality of pixels from the first color space to a second color space to differentiate the annotation from the ROI. The computing system may select a first subset of pixels corresponding to the annotation based at least on a color value of the first subset of pixels in the second color space. The computing system may identify a second subset of pixels included in the ROI from the image using the first subset of pixels. The computing system may store an association between the second subset of pixels and the ROI defined by the annotation in the image.
METHOD FOR GENERATING A PLURALITY OF SETS OF TRAINING IMAGE DATA FOR TRAINING MACHINE LEARNING MODEL
A method for generating a plurality of sets of training image data for training a machine learning model includes: (a) acquiring object image data representing an object image; (b) dividing the object image into T number of partial object images by dividing a region of the object image into T number of partial regions corresponding to respective ones of T number of partial color ranges; (c) generating a plurality of sets of color-modified object image data representing respective ones of a plurality of color-modified object images by performing an adjustment process on the object image data, the adjustment process including a color modification process to modify colors of at least one of the T number of partial object images; and (d) generating the plurality of sets of training image data using one or more sets of background image data and the plurality of sets of color-modified object image data.
Search system
A search system searches a storage where one electronic document or a plurality of electronic documents is/are stored for an electronic document that satisfies an entered search condition. The search system includes a first processor and a second processor. The first processor manages a feature relating to a color shade of the electronic document as an index of the electronic document and retrieves the electronic document that satisfies the search condition from the storage based on the index. The second processor has an electronic document printed. Managing a feature relating to a color shade of the electronic document as an index of the electronic document includes registering the feature relating to the color shade of the electronic document obtained by analyzing the electronic document as the index of the electronic document and updating, when the electronic document is printed, the index of the electronic document.