Coal-rock Interface Image Segmentation Method Based on Deformation Fractional Order Lorenz Chaotic System
Accurate segmentation of coal-rock interface images is of great significance to the safety and efficiency of coal mining.Aiming at the limitations of traditional image segmentation methods in dealing with complex coal-rock interface,a new coal-rock interface image segmentation method based on deformation fractional order Lorenz chaotic system is proposed.Firstly,the chaotic sequence is generated by the complex dynamic characteristics of the deformed fractional order Lorenz chaotic sys-tem,and the detail features of the image are enhanced by disturbing the image pixels.Then,according to the distribution char-acteristics of chaotic sequence,the image is segmented initially to obtain the candidate segmentation region.Finally,the adap-tive threshold segmentation method is used to finely segment the candidate regions,and the accurate boundary of the coal-rock interface is extracted.The effectiveness of the proposed method is verified by experiments on several groups of coal-rock inter-face images.The experimental results show that the image segmentation method based on deformable fractional order Lorenz chaotic system is superior to the traditional method in segmentation accuracy and robustness,can identify the coal-rock inter-face more accurately,and has better anti-noise performance and computational efficiency,which provides an effective method for coal-rock image processing.
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