Hon Hai Precision Industry Co., Ltd.

Li-che Lin

Cheng-Feng Wang

Po-Chung Wang

Hui-xian Yang

Yen-yi Lin

A method of detecting misprints obtains a reference image of perfectly-formed characters and a test image showing the same characters. First image processing is performed on the reference image to obtain a first image, and first image processing is performed on the test image to obtain a second image. A second image processing is performed on the first image to obtain a first outline image of each of first characters in the reference image, and the second image processing is performed on the second image to obtain a second outline image of each of second characters in the test image. A corresponding first outline image is determined for the second outline image. A similarity between the corresponding first outline image and the second outline image is calculated. Accordingly, a detection result of the second outline image is determined. The method can detect character flaw accurately.

Method of detecting misprints, computing device, and storage medium

This application provides a method of detecting printing defects. The method includes obtaining a first image of each character in a reference image. A third image of each character is obtained based on the first image of each character, a fourth image of each character is obtained based on a second image of each character obtained from an image to be detected. Once a fifth image of each character is obtained based on the third image of each character, a sixth image of each character is obtained according to the fourth image and the fifth image of each character, a detection result of each character in the image to be detected is determined according to the fifth image and the sixth image of the each character.

Method of detecting printing defects, computer device, and storage medium

A method for early warning a blind area of a vehicle. In the method, the electronic device obtains at least one target image acquired by at least one camera of the vehicle. The electronic device further determines parameters of at least one target object in each of the at least one target image and a three-dimensional detection frame for each of the at least one target object based on the parameters. The electronic device further obtains a target detection frame of each of the at least one target object in a top view image of a plane where the vehicle is located by projecting the three-dimensional detection frame into the top view image and outputs alert information in response that an overlapped area exists between the target detection frame and a preset blind area of the top view image.

Method for early warning a blind area, electronic device and storage medium

A method of identifying characters in images extracts features of a detection image including characters. Enhancement processing is performed on the detection image according to the features to obtain an enhanced image. Closed edges of the characters are detected in the enhanced image. First rectangular outlines of the characters are determined according to the closed edges. The first rectangular outlines are corrected to obtain second rectangular outlines. The characters are cropped from the detection image according to the second rectangular outlines. The method identifies characters in images accurately and rapidly.

Method of identifying characters in images, electronic device, and storage medium

A method of recognizing target objects in images obtains a detection image of a target object. A template image is generated according to the target object. The detection image is compared with the template image to obtain a comparison result. Candidate regions of the target object are determined in the detection image according to the comparison result. At least one target region of the target object is obtained from the candidate regions. The method detects target objects in images very rapidly.

Method of detecting target objects in images, electronic device, and storage medium

An image generation method obtains an original image. A character area, a background area, and a position of each flawless character in the original image are determined. The character area is segmented to obtain a first image of each flawless character. A background is removed from the first image to obtain a second image. First image processing is performed on the second image to obtain a third image. Second image processing is performed on the second image to obtain fourth images. Third image processing is performed on the fourth images respectively to obtain fifth images. A similarity between each fifth image and the third image is calculated. When the similarity is greater than a defect threshold, a background image is segmented. Brightness of the background image is adjusted. The target fourth image and adjusted background image are synthesized. The method can generate images with defective characters quickly.

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Kaohsiung, Taiwan

Li-che Lin