4 results about "Microphotograph" patented technology

The invention relates to the cross technical field of artificial intelligence and mineralogy, and discloses an AI mineral automatic identification method based on an optical microphotograph, comprising the following steps: step S1: data acquisition and preprocessing; s2, data classification and labeling: constructing a rock microscopic image data set by adopting a two-stage labeling process; s3, building and training a deep learning model; s4, model optimization and quantitative feature learning; s5, developing a software platform; and S6, hardware system combination and full-process automation are carried out. In the aspect of operation convenience, a full-automatic slice scanning hardware system is constructed and combined with an intelligent software platform, so that full-process automatic operation from automatic rock slice scanning, automatic mineral analysis to automatic PDF report generation is realized, manual intervention is greatly reduced, the operation difficulty and complexity are reduced, and the working efficiency is improved. And even an operator without rich experience can easily complete complex mineral identification work.

The present invention discloses a method for identifying water chestnut lodging resistance in the field of water chestnut lodging resistance identification technology, comprising the steps of: selecting 10 water chestnut varieties for identification; trimming, dehydrating, embedding, slicing, staining, and sealing the selected samples to make paraffin sections; observing the prepared paraffin sections with a microscope and photographing them; a fourth step of observing the microphotographs taken after amplification by any multiple using software, and scanning and browsing the software to select the target area of ​​the tissue for 200 times imaging; a fifth step of measuring the anatomical structure index of each slice of water chestnut leaf tissue using analysis software in a unified manner with millimeters as the standard unit after imaging; and a sixth step of drawing and analyzing the data obtained from the experiment. This method provides making water chestnut into paraffin sections and observing their different indicators under a microscope, so that the lodging resistance of water chestnut can be identified.

The invention relates to a method and a device for preparing a grinding pattern for a metallurgical sample (1), wherein, after preparing the sample (1), a thermal contrasting of the surface is carried out by laser equipment, wherein, using a UKP laser (2), at least the following processing steps are carried out: cleaning (R) the surface of the sample (1) with an ablation depth between 1 and 50 µm to reveal joining gap structures (300); contrasting (K) the cleaned surface of the sample (1) with an ablation depth between 0.5 and 20 µm to make joining structures (400) visible; laser etching (A) the contrasted surface of the sample (1) via the ablation-free creation of a thermal annealing colour structure (500) and / or surface oxidation.

A computer-implemented method, when executed on data processing hardware, causes the data processing hardware to perform operations. The operations include i) via application of a machine learning algorithm to a micrograph representative of a metallic material, detecting clusters of dendrite arms in the metallic material and generating an image frame based on the micrograph and representative of the clusters of dendrite arms, ii) detecting, via application of a watershed algorithm to the image frame, individual dendrite arms within the clusters of dendrite arms, iii) applying at least one filter to the image frame, iv) identifying at least one cluster of dendrite arms in the image frame that satisfies the at least one filter, and v) generating, for the at least one cluster of dendrite arms, a cluster profile including at least an average dendrite arm spacing (DAS) value for the at least one cluster of dendrite arms.