Method and system for monitoring and detecting target based on fuzzy algorithm
A technology of fuzzy algorithm and detection method, applied in the target monitoring and detection system based on fuzzy algorithm, in the field of target monitoring and detection based on fuzzy algorithm, can solve problems such as poor reliability, and achieve real-time detection, fast calculation speed, and improved reliability. Effect
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Embodiment 1
[0071] see figure 1 , the present invention discloses a target monitoring and detection method based on a fuzzy algorithm, and the method can be used to detect whether mold protector plastic parts and mold cavities appear (of course, the present invention can also be used in other fields), including the following steps:
[0072] [Step S1] Obtain the target image and the background image. After preliminary processing, they are stored in linear order.
[0073] [Step S2] Extract the differential feature parameters between the target image and the background image; divide the current screen into several small ROIs, and use the differential algorithm to calculate the image gray level difference between the background and the plastic part target, and the background and the cavity target in the small ROI . Extract the features of suspected targets and non-target areas. The feature extraction algorithm uses gray level accumulation, or uses feature quantity extraction and establishes...
Embodiment 2
[0097] The mold protection system first needs to capture three standard images of mold clamping, plastic parts, and mold cavity as the reference template for identification. The reference template image is stored in a preset directory. Every time the system is started, it is read into the memory and converted into two-dimensional data And do 4 / 8 alignment according to the number of CPU bits. In the gap between the detection work of the mold protection system, each snapshot must be subject to target recognition detection, including the following steps:
[0098] The first step is to extract the characteristic parameters of the difference between the target and the background image, use the difference algorithm to calculate the image gray difference between the background and the plastic part target, and the background and the mold cavity target, extract the feature detection operator of the suspected target and the non-target area, and feature extraction The algorithm can use gr...
Embodiment 3
[0108] see figure 1 , the method for identifying and detecting the appearance of mold protector plastic parts and mold cavity targets provided by the present invention can be subdivided into the following steps:
[0109] In Step 1, digital images of the background, molded part, and cavity are captured.
[0110] Step 2, obtaining the digital image of the current frame.
[0111] In step 3, the current picture is divided into small ROI areas, and the digital images of the background, plastic parts and mold cavity are differentiated in each ROI area, and the differences between various images in the ROI are extracted.
[0112] Step 4, calculate the difference parameters according to the ROI. Before the statistics, you can directly calculate the gray value difference. It is also possible to perform feature extraction before the statistics, and after the feature vector is established, the feature vector of the statistical difference. The different statistical parameters are only ...
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