3 results about "Iterative filtering" patented technology

This invention discloses a single-frame coded phase retrieval system and parameter calibration method based on iterative filtering inversion, belonging to the field of lensless computational microscopy imaging technology. It solves the problems of mismatch between single-frame coded phase retrieval algorithms and complex coding scenarios, difficulty in balancing noise suppression and resolution, large system diffraction distance estimation errors, and inaccurate wavefront lateral offset calibration, leading to low imaging accuracy and poor stability. This invention constructs a system including a light source, replaceable amplitude / phase coding, CMOS imaging, one-dimensional electric displacement drive, and a built-in IrCPR algorithm control module, along with a process of "multi-distance calibration of coding functions → Z1 / Z2 calibration using ToG / SG according to coding board type → cross-correlation spectrum registration." This invention improves the accuracy of coding function calibration and diffraction distance estimation, achieves pixel-level alignment of the coded wavefront, and completes complex amplitude reconstruction with a single frame acquisition. The system has strong adaptability and stability, making it suitable for high-precision microscopy imaging scenarios.

This application provides a data filtering method, device, and storage medium, relating to the field of artificial intelligence chip technology. The method includes: performing multiple rounds of iterative filtering on a target dataset using a thread bundle and a target queue, and obtaining the target filtering result based on the K data items retained in the target queue at the time of termination; each round of iterative filtering includes: reading data from the target dataset in parallel using multiple threads in the thread bundle; for the first thread whose read data meets the enqueueing condition, writing the corresponding read data into the target queue in parallel according to the write offset of each first thread to achieve conflict-free parallel enqueueing; when the target queue is full or the target dataset has been read, sorting the data in the target queue and removing data other than the first K data items from the target queue; and updating the enqueueing condition based on the Kth data item in the target queue; this greatly reduces the amount of data involved in sorting, thereby reducing chip resource consumption and improving the efficiency of data filtering.

The present application relates to the technical field of machine vision detection, and in particular to a printing label anti-counterfeiting identification method and system based on machine vision, which utilizes multispectral imaging to collect data to generate an initial spectral image set; adopts refraction correction modeling to peel off the interference signal of the transparent coating layer; through iterative filtering, residual noise is filtered out to generate a pure signal; a layer separation and spatial decoupling algorithm is used to analyze the multi-layer structure and extract a feature vector; the distribution of hidden anti-counterfeiting codes and fiber patterns is analyzed in combination with coding rules; a pattern matching and threshold determination logic is used to generate a label authenticity determination result; and a continuous identification optimization report is generated based on dynamic feedback control. The present application can effectively eliminate complex coating layer interference, realize accurate analysis of the deep anti-counterfeiting features of multi-layer labels, and significantly improve the robustness and accuracy of anti-counterfeiting identification in a high-speed production environment.