47results about How to "The counting result is accurate" patented technology

An automatic counting device for measuring the number of target objects included in an image, which includes a discrimination section, a counting section, and a correction section. The discrimination section discriminates the target objects included in the image based on face information extracted from the image. The counting section measures the number of target objects discriminated by the discrimination means. The correction section corrects the number of each type of target object measured by the counting section such that the counting error arising from the difference in the discrimination accuracy between each type of target object is minimized based on information related to the discrimination accuracy for each type of target object.

The invention provides a counting device and a counting system for trapping injurious insects. The counting device comprises a box body, a trapping chamber (1), a high voltage power grid (2), an insect collecting hopper (3), an infrared sensor unit (4), an image acquisition unit (5), an injurious insect object table (6) and a main controller unit (8). In the counting device and the counting system for trapping the injurious insects, the injurious insects are counted with the combination of the infrared counting technology and the image counting technology at the same time, the problem of a low accuracy rate caused by single counting is solved, meanwhile because the image acquisition unit collects the image information under triggering of the infrared sensor unit, mutual verifying based on two counting results of infrared counting and image counting is achieved, and accuracy of counting the injurious insects is further improved. In addition, in the counting device and a counting system for trapping injurious insects, when the counting results of the two counting methods are different, retrace further can be conducted according to output results of the counting device.

The invention discloses a system for dividing and counting aggregated leukocytes. The system includes: an image acquisition module for staining leukocytes in a blood sample, using erythrocyte lysate to dissolve the red blood cells in the blood sample, and obtaining images of leukocytes; an image preprocessing module , for performing image background removal on the white blood cell image and using the maximum inter-class variance method to obtain the optimal segmentation threshold, and roughly segment the white blood cell area; the aggregated cell judgment module is used for obtaining a rough segmentation image according to the rough segmentation of the white blood cell area, set The discriminant function of the cell area is determined to obtain the multi-cell aggregation area; the aggregated cell segmentation and counting module is used to extract the cytoskeleton in each aggregation area and the gray-scale curve at the cytoskeleton by using the morphological refinement method. In the present invention, by analyzing the gray scale characteristics of various types of white blood cells under a low-power microscope, an adaptive threshold function is constructed to obtain the number of eosinophils while obtaining the count of white blood cells, and quickly and accurately segment and count the cells in the aggregation area. Simple and easy to implement.

The invention discloses an insect monitoring device which comprises an electric-net-type insect killer, a current sensing module, an insect lamp-swooping recognition module and a main control module. The electric-net-type insect killer comprises a trapping light source and an electric net arranged around the trapping light source and is used for trapping and killing insects, the current sensing module is used for monitoring original-side current changes of the electric net, the insect lamp-swooping recognition module comprises a matrix-type keyboard arranged on the outer side of the electric net and is used for counting lamp-swooping insects, and the main control module is used for receiving signals output by the current sensing module and the insect lamp-swooping recognition module and counting the total number of the lamp-swooping insects. The insect monitoring device can complete counting at the moment when the insects swoop a lamp, so that any accidental factors which may affect counting are effectively avoided.