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4 results about "Image conversion" patented technology

A large number of image file formats are available for storing graphical data, and, consequently, there are a number of issues associated with converting from one image format to another, most notably loss of image detail.

Fruit surface defect detection method based on image marking

InactiveCN105424709AAccurate Defect DetectionStatistically accurateOptically investigating flaws/contaminationImage conversionVisual perception
A fruit surface defect detection method based on image marking includes the following steps that firstly, a surface picture of a to-be-detected fruit is taken and saved, and an original image is obtained; secondly; the original picture is uploaded to a server to be analyzed and processed; processing of the server includes the steps that a, the obtained original image is converted into a space where the visual system of human beings is applied, and an H component and an I component are extracted; b, dynamic threshold segmentation is performed on the H component; c, gray histogram statistics is performed on the I component, segmentation is performed through a fixed threshold method, and a threshold is selected between two wave peaks; d, the H value segmentation result and the I value segmentation result are operated, and a binary image with defect areas is obtained; denoising is performed on the obtained binary image; f, the binary image is enhanced, hole noise may exist in the defect areas, and filling is performed on the noise; g, the obtained binary image is marked, and the number and the area of defects are calculated; a detection result is output; labor intensity of workers is reduced, and production efficiency is improved.
Owner:SHAANXI UNIV OF SCI & TECH

Image noise reduction method and system

The invention relates to an image noise reduction method and a system. The method comprises the steps of: converting an image to be processed into at least one image sub-layer by a client side, and transmitting the image sub-layers to a cloud computing system; performing noise reduction on the image sub-layers after the image sub-layers are received by the cloud computing system, and returning the image sub-layers subjected to noise reduction to the client side by the cloud computing system; reconstructing the image sub-layers subjected to noise reduction into an image after the image sub-layers subjected to noise reduction are received by the client side by the client side, thereby obtaining the image subjected to noise reduction. Since the image is layered, the complex image is decomposed into multiple image sub-layers for noise reduction and noise of each image sub-layer is reduced simultaneously via cloud computing, high-complexity computation can be performed to obtain high-quality images with noise reduced in the case of limited client side resources, and current demands for rapid and efficient image noise reduction can be satisfied in the case of increase of the image resolution and the number of images.
Owner:ZTE CORP
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