32results about How to "Easy to classify and identify" patented technology

The invention provides a method for detecting smoky vehicles based on a single-frame image, which includes: converting a single-frame color image into a grayscale image, and dividing it into several small squares on average; Binary pattern features or discriminative non-redundant local binary pattern features; for each small square region, extract gradient position direction histogram features; for each small square region, extract local fractal features; normalize different types of Features, and concatenated to form the final feature vector, use the SVM classifier to classify the proposed feature vector, identify the small square with smoke, and make a judgment on whether there is a black smoke car in the current frame. The present invention introduces various features, so that the information expression is both sufficient and discriminative, more conducive to classification and recognition, and has stronger robustness and discriminative properties. The recognition rate is further improved and the false alarm rate is reduced.

The invention provides a traceable safe unloading system for liquid hazardous wastes. According to the traceable safe unloading system for the liquid hazardous wastes, inlets and outlets are arrangedwithin a certain area; a material temporary storage area is arranged in the area and the material temporary storage area is divided into a plurality of small areas; the small areas are marked by different colors and each small area is divided into a qualified material area and a unqualified material area; material barrels corresponding to the colors of the small areas are placed in the corresponding small areas and radio-frequency identification codes are arranged on the material barrels; conveying belts are correspondingly arranged at the two sides of the material temporary storage area; a plurality of material unloading areas, barrel washing areas, drying areas and leakage detecting areas are sequentially arranged on the conveying belts and empty barrel storage areas are arranged at thetails of the conveying belts. According to the system, hazardous waste containers are unified and the radio-frequency identification codes are arranged, therefore the functions of being traceable without the need for manual recording and convenient for taking trace can be realized; the full-automatic continuous operation of material unloading and cleaning of the material barrels can be realized, so that the working efficiency is improved and the safety is guaranteed.

The invention relates to a magnetic tile surface defect detection system and method, and relates to a magnetic tile surface defect detection collar. The system includes: an image acquisition device and a computer system; the image acquisition device is used to collect the surface image of the magnetic tile, and the computer system judges the suspicious area on the surface image of the magnetic tile and divides the suspicious area to obtain the suspicious area image, and extract the geometric features, grayscale features and texture features of the suspicious area image, and the computer system inputs the geometric features, the grayscale features and the texture features into a pre-trained classifier to obtain The detection results of magnetic tile surface defects, through the classification recognition algorithm, realize high-precision classification and identification of magnetic tile defects, and realize automatic detection of magnetic tile defects, reduce labor costs, improve efficiency and recognition accuracy.

The invention relates to a filtering and intercepting method for junk mail. The method filters and recognizes the mail for multiple layers: obtaining the classification attribute of mail for the user according to the expression and / or phonetic feature data of the user for receiving and sending the mail; for the mail, which cannot be confirmed on category, orderly inquiring the black / white list of the user node local and friend node, the friend node is the network node having higher mail interaction frequency with the current user node; reminding the user for judging the category of the mail. By filtering and recognizing the mail for multiple layers, the problem of the prior art for recognizing the junk mail with larger cost and low efficiency can be solved.

The invention discloses an ISAR target contour extraction method based on the CLEAN algorithm scattering center extraction. First step 1: using the two-dimensional CLEAN algorithm to extract the scattering center position information of the ISAR target, and reconstructing the ISAR image according to the extracted N strong scattering points Get the final high-resolution image, use α-shape to get the scattering center position on the edge of the target; connect these scattering centers into a closed curve through the rubber band method proposed in this paper, and smooth the result to obtain a smooth target outline Wire. The beneficial effect of the present invention is to apply the two-dimensional CLEAN high-resolution technology to the ISAR image contour extraction, connect the scattering centers at the edge of the target with a closed smooth curve to obtain the ISAR target contour extraction through the rubber band algorithm proposed herein, It is convenient for subsequent ISAR target classification and recognition.