Abstract: A method for detecting defect in image is provided. The method obtains a number of original images, determines a first reference image from the original images, and performs a histogram matching on the original images excluding the first reference image according to the first reference image, to obtain a plurality of matched images. The method further generates a synthesized image according to pixel intensities of the matched images and pixel intensities of the first reference image; and uses the synthesized image as a second reference image to perform an image comparison with a test image, to generate a result of defect detection. A related device and a related non-transitory storage medium are also provided.

Abstract: A method for detecting workpiece based on homogeneous multi-core architecture is illustrate. The method comprises: obtaining detecting images of detecting workpieces; identifying detecting areas of the detecting workpieces in the detecting images; dividing the preset rotation angle to obtain the rotation accuracy and initial rotation angles; based on each of the initial rotation angles, rotating the detecting areas to obtain a rotation area of each of the initial rotation angles; calculating similarity values between each of the rotation areas and a preset qualified area, and determining a largest similarity value as the target similarity value; and when the rotation accuracy is greater than or equal to a preset accuracy, identifying whether the detecting workpiece is a qualified workpiece according to the target similarity value and a preset similarity threshold.

Abstract: A method, a device, and a non-transitory computer readable medium for detecting label on curved container, includes obtaining a first image, the first image comprising a label on the curved container; obtaining a plurality of reference points in the first image; obtaining a first width of the curved container and first position data of the label according to the plurality of reference points; determining whether the curved container is rotated according to the first width and a predetermined standard width; when the curved container rotated being determined, predicting a second width of the curved container according to the first position data and a predetermined regression equation; and determining whether the label is offset according to the first width and the second width.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An image processing method applied to a vehicle-mounted device is provided. The vehicle-mounted device obtains a first image of a front part of and a second image of a rear part of the external vehicle and obtains several spatial coordinates of several vertices of the target visual plane. The device projects each of the spatial coordinate into a first coordinate system of the first image and a second coordinate system of the second image and obtains a first projection coordinate and a second projection coordinate, generates a first transformation matrix or a second transformation matrix according to the first projection coordinate and the second projection coordinate, and obtains a first conversion image corresponding to the first image, or a second conversion image corresponding to the second image; and generates an image of a whole body of the external vehicle based on the first converted image and the second image.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method for detecting workpiece based on homogeneous multi-core architecture is illustrate. The method comprises: obtaining detecting images of detecting workpieces; identifying detecting areas of the detecting workpieces in the detecting images; dividing the preset rotation angle to obtain the rotation accuracy and initial rotation angles; based on each of the initial rotation angles, rotating the detecting areas to obtain a rotation area of each of the initial rotation angles; calculating similarity values between each of the rotation areas and a preset qualified area, and determining a largest similarity value as the target similarity value; and when the rotation accuracy is greater than or equal to a preset accuracy, identifying whether the detecting workpiece is a qualified workpiece according to the target similarity value and a preset similarity threshold.

Abstract: A data test method, an electronic device, and a storage medium are provided. In the data test method, based on a Density-Based Spatial Clustering of Applications with Noise (DBSCAN), at least one cluster is obtained by removing discrete points in the target data and performing clustering, an calculation result is obtained by performing a regression analysis on the target data with the objective function, and parameters to be tested are verified according to the calculation result. Utilizing the data test method, objective function can be used to perform verification and residual analysis on the target data, related descriptions are be repeated here.

Abstract: A method for detecting defect in image is provided. The method obtains a number of original images, determines a first reference image from the original images, and performs a histogram matching on the original images excluding the first reference image according to the first reference image, to obtain a plurality of matched images. The method further generates a synthesized image according to pixel intensities of the matched images and pixel intensities of the first reference image; and uses the synthesized image as a second reference image to perform an image comparison with a test image, to generate a result of defect detection. A related device and a related non-transitory storage medium are also provided.

Abstract: A method, a device, and a non-transitory computer readable medium for detecting label on curved container, includes obtaining a first image, the first image comprising a label on the curved container; obtaining a plurality of reference points in the first image; obtaining a first width of the curved container and first position data of the label according to the plurality of reference points; determining whether the curved container is rotated according to the first width and a predetermined standard width; when the curved container rotated being determined, predicting a second width of the curved container according to the firs position data and a predetermined regression equation; and determining whether the label is offset according to the first width and the second width.

Abstract: A method for detecting apparent defects in images of products acquires an original image of the product. Defects apparent in the original image are automatically detected by an automatic optical detection apparatus. When the original image comprises at least one apparent defect, the original image is cut into at least one partial image centered on the at least one apparent defect. Each partial image contains one defect. By determining whether the at least one partial image indicates a real defect or a false or ghost defect, a result of desired image (for further analysis), or undesired image (for discarding) is output. The original image is deemed a desired image or an undesired image based on the result. A defect detection system applying the method is also disclosed.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.