Abstract: In a method of cleaning a photo mask, the photo mask is placed on a support such that a pattered surface faces down, and an adhesive sheet is applied to edges of a backside surface of the photo mask.

Abstract: An electrochromic composition including: a first oxidizable compound; a reducible compound; an electrolyte; and a solvent, wherein the first oxidizable compound is represented by the following formula: wherein X1, and X2 are independently substituted or unsubstituted aliphatic hydrocarbon groups, or substituted or unsubstituted aromatic hydrocarbon groups, wherein the aromatic hydrocarbon groups include: wherein each Rx is independently hydrogen, a C1-C16 alkyl group, a C1-C16 alkoxy group, a C1-C16 haloalkyl group, or halogen.

Abstract: A distinguishing device for dental plaque and dental calculus includes a light-emitting diode, an image sensing unit, and a processor. The light-emitting diode movies in a first direction and is separated from teeth in an oral cavity by a predetermined distance in a second direction. The second direction is perpendicular to the first direction. The light-emitting diode generates a blue light to illuminate the teeth, so that dental plaque on the teeth generates a first autofluorescence and dental calculus on the teeth generates a second autofluorescence. The image sensing unit is configured to sense the first autofluorescence and the second autofluorescence. The processor is coupled to the image sensing unit to distinguish a dental plaque area from a dental calculus area on the teeth according to the first autofluorescence and the second autofluorescence.

Abstract: An image classifying device is provided in the invention. The image classifying device includes a storage device, a calculation circuit and a classifying circuit. The storage device stores information corresponding to a plurality of image classes. The calculation circuit obtains a target image from an image extracting device and obtains the feature vector of the target image. The calculation circuit obtains a first estimation result corresponding to the target image based on the information corresponding to the plurality of image classes and the feature vector and obtains a second estimation result corresponding to the target image based on a reference image, wherein the reference image corresponds to one of the image classes. The classifying circuit adds the target image into one of the image classes based on the first estimation result and the second estimation result.

Abstract: A tooth-position recognition system includes an electronic device and a calculation device. The electronic device includes a first camera. The first camera is configured to capture a plurality of tooth images. The calculation device includes a second camera and a processor. The second camera is configured to capture a user image. The processor is configured to receive the tooth images, compare the corresponding position of each pixel in each tooth image to generate a depth map, and input the tooth images, the depth map, and a plurality of first tooth-region identifiers into a tooth deep-learning model. The tooth deep-learning model outputs a plurality of deep-learning probability values that are the same in number as the first tooth-region identifiers. The processor inputs the user image and the plurality of second tooth-region identifiers into a user-image deep-learning model.

Abstract: A tooth-position recognition system includes an electronic device and a calculation device. The electronic device includes a first camera. The first camera is configured to capture a plurality of tooth images. The calculation device includes a second camera and a processor. The second camera is configured to capture a user image. The processor is configured to receive the tooth images, compare the corresponding position of each pixel in each tooth image to generate a depth map, and input the tooth images, the depth map, and a plurality of first tooth-region identifiers into a tooth deep-learning model. The tooth deep-learning model outputs a plurality of deep-learning probability values that are the same in number as the first tooth-region identifiers. The processor inputs the user image and the plurality of second tooth-region identifiers into a user-image deep-learning model.

Abstract: An image processing method for a fluorescence reaction region of teeth. The image processing method includes emitting blue light from a light source to illuminate the teeth in a mouth, so that the teeth generate fluorescence; capturing a first teeth image of the teeth by an image capturing unit; separating the first teeth image into a first red-value image, a first green-value image, and a first blue-value image by a processing unit; transforming the first red-value image into a second red-value image by the processing unit using a pixel value transforming function; and combining the second red-value image, the first green-value image, and the first blue-value image into a second teeth image by the processing unit.

Abstract: An image-processing method for marking plaque fluorescent reaction areas is provided, including: obtaining a first RGB image of a mouth region; obtaining a second RGB image of the mouth region; respectively converting the first RGB image and the second RGB image into a first HSV image and a second HSV image; obtaining a first average brightness value of the first HSV image and a second average brightness value of the second HSV image; normalizing the first average brightness value or the second average brightness value according the first average brightness value and the second average brightness value to obtain a normalized image; converting the normalized image into a third RGB image, and obtaining a plurality of pixel points of the dental plaque according to the third RGB image and the first RGB image or the second RGB image; and marking the pixel points in the third RGB image.

Abstract: An image processing method for a fluorescence reaction region of teeth. The image processing method includes emitting blue light from a light source to illuminate the teeth in a mouth, so that the teeth generate fluorescence; capturing a first teeth image of the teeth by an image capturing unit; separating the first teeth image into a first red-value image, a first green-value image, and a first blue-value image by a processing unit; transforming the first red-value image into a second red-value image by the processing unit using a pixel value transforming function; and combining the second red-value image, the first green-value image, and the first blue-value image into a second teeth image by the processing unit.

Abstract: An image-processing method for marking plaque fluorescent reaction areas is provided, including: obtaining a first RGB image of a mouth region; obtaining a second RGB image of the mouth region; respectively converting the first RGB image and the second RGB image into a first HSV image and a second HSV image; obtaining a first average brightness value of the first HSV image and a second average brightness value of the second HSV image; normalizing the first average brightness value or the second average brightness value according the first average brightness value and the second average brightness value to obtain a normalized image; converting the normalized image into a third RGB image, and obtaining a plurality of pixel points of the dental plaque according to the third RGB image and the first RGB image or the second RGB image; and marking the pixel points in the third RGB image.

Abstract: An analog to digital conversion device integrated in a microcontroller that is accomplished on a single chip, the device comprising: an adjustable gain amplifier, used to obtain a corresponding analog voltage signal V1—V2 after corresponding an input analog voltage V1 to a reference voltage V2, and based on a corresponding relationship of a gain function A, performing an amplification operation to a corresponding analog voltage signal, and further outputting an amplified analog voltage signal A(V1−V2); and a n-bit analog to digital converter, having a reference voltage Vr, electrically coupling to an output of the adjustable gain amplifier, used to convert the amplified analog voltage signal into a digital voltage signal, and outputting the digital voltage signal, wherein the gain function of the adjustable gain amplifier can be provided to the microcontroller to perform an adjustment according to the reference voltage Vr and a relationship of a peak value of the input corresponding analog voltage

Abstract: An analog to digital conversion device integrated in a microcontroller that is accomplished on a single chip, the device comprising: an adjustable gain amplifier, used to obtain a corresponding analog voltage signal V1−V2 after corresponding an input analog voltage V1 to a reference voltage V2, and based on a corresponding relationship of a gain function A, performing an amplification operation to a corresponding analog voltage signal, and further outputting an amplified analog voltage signal A(V1−V2); and a n-bit analog to digital converter, having a reference voltage Vr, electrically coupling to an output of the adjustable gain amplifier, used to convert the amplified analog voltage signal into a digital voltage signal, and outputting the digital voltage signal, wherein the gain function of the adjustable gain amplifier can be provided to the microcontroller to perform an adjustment according to the reference voltage Vr and a relationship of a peak value of the input corresponding analog voltage