Pointer type instrument reading automatic identification method and system based on genetic algorithm
A technology of automatic identification and genetic algorithm, which is applied in the field of automatic identification method and system of pointer instrument indication number, and can solve the problem that parameters are difficult to be determined manually
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Embodiment 1
[0077] like figure 1 As shown, this embodiment provides a method for adaptively adjusting parameters based on a genetic algorithm to adapt to the automatic identification of pointer instrument indication numbers in a specific environment, which specifically includes the following steps:
[0078]Step 101: Generate a natural population; the natural population includes a plurality of individuals, the individuals represent parameters involved in the pointer edge line detection process, and the parameters include an accumulator threshold, a minimum length threshold, and a maximum allowable interval.
[0079] Step 102: Construct a sample data set; the sample data set includes a plurality of preprocessed front-facing pointer meter training images, and the front-facing reading and pointer deflection angle of each front-facing pointer meter training image.
[0080] Step 103: Based on the parameters of each individual representative, use the Hough linear transformation algorithm to dete...
Embodiment 2
[0125] like figure 2 As shown, a kind of automatic recognition system based on genetic algorithm of pointer instrument indication number provided by this embodiment includes:
[0126] The natural population generation module 201 is used to generate a natural population; the natural population includes a plurality of individuals, the individual represents parameters involved in the pointer edge line detection process, and the parameters include an accumulator threshold, a minimum length threshold and a maximum allowable interval .
[0127] The sample data set construction module 202 is used to construct a sample data set; the sample data set includes a plurality of preprocessed front-facing pointer meter training images, and the front-facing reading and pointer deflection angle of each front-facing pointer meter training image.
[0128] The automatic recognition display number set determination module 203 is used to detect all the preprocessed front-view pointer instrument tr...
Embodiment 3
[0158] In this embodiment, 3 clear images of face-on pointer meters are used as training samples, and 5 groups of images of face-up pointer meters in different environments are used as test samples. The specific conditions are as follows:
[0159] (1) Clearly face up to the image of the pointer instrument.
[0160] (2) Salt and Pepper Noise Face up to the pointer instrument image.
[0161] (3) Gaussian fuzzy front view pointer instrument image.
[0162] (4) Stains face up to the pointer instrument image.
[0163] (5) Front view pointer instrument image in dim environment.
[0164] Among them, steps 1-3 are parameters adaptive adjustment process, such as image 3 shown; Steps 4-6 are the automatic recognition process of the pointer instrument image face-up reading, such as Figure 4 shown.
[0165] Step 1: Select 3 clear front-facing pointer instrument images with different readings and their pointer deflection angles and front-facing readings as training samples, such as ...
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