63results about How to "No missed detection" patented technology

The invention discloses a quick gap electromagnetic measurement method and a sensor device. The gap electromagnetic measurement sensor device suitable for any metal or non-metal material and the measurement method of the same are designed based on an electromagnetic induction principle. The sensor device consists of two thin metal sheets, a coil detecting thin plate, a holding rod, a fastener and a lead. The measurement method comprises two steps of calibration and actual measurement. The sensor device and the measurement method adopt an unique ferromagnetic micro-spring piece, namely the sensor device and the measurement method can adapt to gap detection of any material, have the important advantages of being high in measurement speed, precise in quantification and free of leak detection, can effectively replace conventional gap size measurement methods, quickly, precisely and comprehensively measure the gap size of workpieces and are suitable for gap measurement work of various metal or non-metal tubes, plates, bent workpieces and the like, and a detecting signal dynamic range and the linearity degree are improved well.

The invention discloses an automatic measuring and morphological classification method for particles precipitated from steel, comprising the steps as follows: firstly, the electron micrographs of the target particles precipitated from steel are subjected to image binary segmentation so as to obtain the binary images of the particles; the binary images of the target particles are denoised by a morphological filtering method, a seed filling method is adopted to fill holes, and the particles to be separated are determined by the domain value determined by experience criterion and the separation of agglomerate particles is carried out; the particles after separation are subjected to region labeling; finally, the neural network morphological classification models of the target particles precipitated from steel are established; and results are displayed and output in the form of graph files. The method can obtain ideal measuring and classification effect without omission inspection and re-inspection; the measurement accuracy of particle size can reach plus or minus 2 microns, the particle size distribution anastomotic rate can be more than 91.7 percent, and the anastomotic rate of morphological classification can be more than 90.5 percent; the particle measuring and classification of one view field cost only a few minutes; and the method has excellent universality and can be used in all the particle measuring and classification works with complex backgrounds and morphologies in the material field and biological field.

The embodiment of the invention discloses an interlacing removal method for video data, comprising the following steps: detecting the motion state of the pixel of the top field of a current frame in video data relative to the pixel of the same spatial location of the top field of an adjacent frame, and detecting the motion state of the pixel of the bottom field of the current frame relative to thepixel of the same spatial location of the bottom field of the adjacent frame; judging the motion state of the pixel of the current frame relative to the pixel of the same spatial location of the adjacent frame by judging whether at least one pixel of the pixels of the same spatial locations of the top field and the bottom field of the current frame is in motion state or not; and carrying out interpolation according to the motion state. The embodiment of the invention also provides an interlacing removal device and a video processing system for video data. By the embodiment of the invention, the pixel of the current frame is free from detection omission, the accuracy of judging the motion state of the pixel of the current frame is enhanced, the pixel error of a point to be interpolated isreduced, and the definition of an image is enhanced.