Method for detecting defects of potatoes
A defect detection and potato technology, which is applied in the direction of optical defect/defect test, food test, material inspection product, etc., can solve the problems of time-consuming and labor-intensive, easily affected by human behavior, poor and accurate identification of poor-quality potatoes, etc. Achieve the effect of high recognition rate and lower production cost
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Embodiment 1
[0011] Wash 50 potatoes peeled by steam with running water at 5°C for 15 minutes, take them out, and dry them with airflow at room temperature. Transfer the potatoes to a metal plate under running water at 15°C to keep the temperature steady. Heat the potatoes with an infrared lamp, the power of the bulb is 250W, the distance between the bulb and the potato is 35cm, and the heating time is 0.5min. Take pictures with an infrared camera, the camera lens is 35cm away from the potato, and the thermal image taken is transmitted to the computer. Perform mean filtering and denoising on the thermal image, use the threshold segmentation method to extract the area of the potato thermal image, calculate the average temperature value of the pixels in this area, and then calculate the difference between the temperature value of each pixel point in the area and the average temperature value, and calculate The area of the real object corresponding to the pixel point whose absolute value...
Embodiment 2
[0013] Wash 50 potatoes peeled by steam for 10 minutes with flowing water at 15°C, take them out, and dry them with airflow at room temperature. The potatoes were transferred to a metal plate under running water at 30°C to keep the temperature stable. Heat the potatoes with an infrared lamp, the power of the bulb is 500W, the distance between the bulb and the potato is 55cm, and the heating time is 1min. Take pictures with an infrared camera, the camera lens is 55cm away from the potato, and the infrared photos taken are transmitted to the computer. Perform mean filtering and denoising on the thermal image, use the threshold segmentation method to extract the area of the potato thermal image, calculate the average temperature value of the pixels in this area, and then calculate the difference between the temperature value of each pixel point in the area and the average temperature value, and calculate The area of the real object corresponding to the pixel point whose abso...
Embodiment 3
[0015] Wash 50 potatoes peeled by steam with flowing water at 30°C for 3 minutes, take them out, and dry them with airflow at room temperature. Transfer the potatoes to a metal plate under running water at 5°C to keep the temperature constant. The potatoes were heated with an infrared lamp, the power of the bulb was 350W, the distance between the bulb and the potato was 45cm, and the heating time was 40 s. Take pictures with an infrared camera, the camera lens is 55cm away from the potato, and the infrared photos taken are transmitted to the computer. Perform mean filtering and denoising on the thermal image, use the threshold segmentation method to extract the area of the potato thermal image, calculate the average temperature value of the pixels in this area, and then calculate the difference between the temperature value of each pixel point in the area and the average temperature value, and calculate The area of the real object corresponding to the pixel point whose ab...
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