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.

A character recognition method includes the following operations: determining that the image of character to be identified corresponds to a matching character of several registered characters according to several vector distances to be identified between a vector of an image of character to be identified and several vectors of several registered character images of several registered characters, and storing a matching vector distance between the vector of the image of character to be identified and a vector of the matching character by a processor; and storing a data of the matching character according to the image of character to be identified when the matching vector distance is less than a vector distance threshold by the processor.

A flow meter, and related method, include a coupler adapted to couple to a drip chamber, a support member operatively coupled to the coupler, an image sensor and a backlight. The image sensor has a field of view and is operatively coupled to the support member. The backlight is adapted to illuminate the image sensor to expose the image sensor such that the field of view of the image sensor at least partially images at least a portion of the drip chamber. A processor receives image data from the image sensor to select a region of interest of the image sensor, determine whether a pixel of the image sensor is within the region of interest, activate the at least one light of the backlight when the pixel of the image sensor is within the region of interest, and expose the pixel of the image sensor.

Embodiments are disclosed for providing customizable, visually aesthetic color diverse template recommendations derived from a source image. A method may include receiving a source image and determining a source image background by separating a foreground of the source image from a background of the source image. The method separates a foreground from the background by identifying portions of the image that belong to the background and stripping out the rest of the image. The method includes identifying a text region of the source image using a machine learning model and identifying font type using the identified text region. The method includes generating an editable template image using the source image background, the text region, and the font type.

A flow meter, and related method, include a coupler adapted to couple to a drip chamber, a support member operatively coupled to the coupler, an image sensor and a backlight. The image sensor has a field of view and is operatively coupled to the support member. The backlight is adapted to illuminate the image sensor to expose the image sensor such that the field of view of the image sensor at least partially images at least a portion of the drip chamber. A processor receives image data from the image sensor to select a region of interest of the image sensor, determine whether a pixel of the image sensor is within the region of interest, activate the at least one light of the backlight when the pixel of the image sensor is within the region of interest, and expose the pixel of the image sensor.

A method comprises identifying a representation of first statistical information in a document, identifying descriptive text that describes the first statistical information, determining whether the descriptive text accurately describes the first statistical information, and upon determination that the descriptive text does not accurately describe the first statistical information, generating alternative descriptive text that accurately describes the first statistical information.

A flow meter includes a background pattern disposed behind a drip chamber, an image sensor, and a processor. The image sensor has a field of view and is configured to view the drip chamber within the field of view. The processor is coupled to the image sensor to receive image data therefrom and captures, using the image sensor, an image of the drip chamber and at least a portion of the background pattern, examines the image, and adjusts a flow rate of fluid flowing through a fluid line in accordance with the examination of the image.

In an exemplary embodiment, the invention comprises a principled edit-distance system that performs a method for determining the probability of character errors. In another exemplary embodiment, the invention comprises a post-OCR error correction system that performs a context-sensitive correction method. In another exemplary embodiment, the invention comprises a post-OCR error correction system that performs a comprehensive, unified correction process based on generalized edit distance analysis, wherein the objective is to find a corrected sentence that has the overall smallest edit distance across all levels. In another exemplary embodiment, the invention comprises a post-OCR error correction system that comprises one or more subjective fractional rank-based dictionaries. In another embodiment, the invention comprises a post-OCR error correction system that performs the automatic assignment of rank to words per-document dictionaries.

A flow meter includes a background pattern disposed behind a drip chamber, an image sensor, and a processor. The image sensor has a field of view and is configured to view the drip chamber within the field of view. The processor is coupled to the image sensor to receive image data therefrom and captures, using the image sensor, an image of the drip chamber and at least a portion of the background pattern, examines the image, and adjusts a flow rate of fluid flowing through a fluid line in accordance with the examination of the image.

A flow meter includes a background pattern disposed behind a drip chamber, an image sensor, and a processor. The image sensor has a field of view and is configured to view the drip chamber within the field of view. The processor is coupled to the image sensor to receive image data therefrom and captures, using the image sensor, an image of the drip chamber and at least a portion of the background pattern, examines the image, and adjusts a flow rate of fluid flowing through a fluid line in accordance with the examination of the image.