4 results about "Image subtraction" patented technology

This invention discloses an achromatic metalens based on a long depth-of-focus beam and its imaging method. The method utilizes a polarization-multiplexed metalens to generate a zero-order Bessel beam and a higher-order Bessel beam, which are used to image an object, obtaining a zero-order image and a higher-order image respectively. The higher-order image is then subtracted from the zero-order image to obtain an achromatic image of the object under test. This invention achieves a large depth of field through a conical phase and utilizes the overlapping area of ​​the depth of field within a wide wavelength band to obtain broadband imaging, realizing achromatic imaging in the visible light band. The lens size is not limited, and the area can reach the centimeter level or above. Simultaneously, image subtraction effectively eliminates image blurring caused by side lobes, significantly improving image quality.

This application relates to an image subtraction method, apparatus, and storage medium. The method includes: registering a current frame's overlay image and a previous frame's target mask image to determine the current frame's target mask image; and determining the current frame's subtraction image based on the current frame's target mask image and the current frame's overlay image. Through this application, the current frame utilizes the previous frame's target mask image during the registration process, transferring the registration trend of the previous frame to the current frame. This is equivalent to the current frame undergoing several registrations, thereby reducing the computational load during image registration and improving the registration effect.

Method (1000) to operate a wearable sensory device for real-time image processing, wherein said sensory device comprises an image detector (100) and a Neural Processing Unit (NPU), wherein said image detector (100) takes at least two consecutive images (201, 202), a first image (201) and a second image (202), wherein the method (1000) is performed by NPU and comprises an algorithm design phase (1200) comprising an acquiring operation (1201), wherein said acquiring operation (1201) acquires said at least two consecutive images (201, 202), a subtracting operation (1202) which subtracts the first image (201) from the second image (202) and obtains a differential image, a POSITIVE PATH operation (1210) which reconstructs a positive event-like image (32) from said differential image, a NEGATIVE PATH operation (1220) which reconstructs a negative event-like image (31) from said differential image, an addition operation (1230) which adds said negative event-like image (31) to positive event-like image (32) obtaining an event-like image.

The present application relates to the technical field of intelligent sensor, specifically to a Raman spectrum-based monk fruit agricultural residue fluorescence background suppression imaging method, which comprises the following steps: recognizing the gap between the hairy tissues of monk fruit by using a distance sensor, locking a three-dimensional pixel coordinate matrix and extracting local curvature feature mapping as a capillary pressure gradient field, guiding noble metal nano-probes to enrich at the root of the gradient field to construct a local enhanced hot spot, and outputting an enhanced signal stream; adopting frequency shift excitation combined with polarization differential phase detection, using polarization difference to strip scattering interference caused by the hairy tissues, and performing differential processing through image subtraction algorithm to obtain an agricultural residue differential image; and establishing an attenuation correction model based on surface topography and normal angle to perform pixel-level gain compensation on the signal and restore the real distribution concentration of agricultural residues. The present application is suitable for agricultural product detection scenes with complex hairy structure and strong fluorescence background, and can significantly improve the signal sensitivity, spatial imaging resolution and quantitative analysis capability of agricultural residue detection in a strong interference environment.