Research on spectral clustering infrared image segmentation algorithm based on improved sparse matrix

2018 ◽  
Author(s):  
yinpeng wei ◽  
xiaofeng zhao ◽  
wei cai ◽  
changqing liu
Keyword(s):  
Image Segmentation ◽  
Spectral Clustering ◽  
Sparse Matrix ◽  
Infrared Image ◽  
Segmentation Algorithm ◽  
Infrared Image Segmentation ◽  
Image Segmentation Algorithm

scholarly journals Thermal Fault Detection and Diagnosis of Electrical Equipment Based on the Infrared Image Segmentation Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Hongzhao Li
Keyword(s):  
Image Segmentation ◽  
Fault Detection ◽  
Infrared Imaging ◽  
Infrared Image ◽  
Electrical Equipment ◽  
Fault Detection And Diagnosis ◽  
Segmentation Algorithm ◽  
Imaging Technology ◽  
Infrared Image Segmentation ◽  
Image Segmentation Algorithm

With the advancement of social economy, electricity has gradually entered thousands of households and become a commonly used energy source. However, it cannot be ignored that electricity is dangerous in itself and should be used rationally and effectively. The fault detection of power equipment has become a top priority because they are essential tools for storing, transmitting, and transferring electric power. Based on infrared imaging technology, the principle of infrared imaging technology is introduced in this paper, and effective diagnosis methods are analyzed and summarized in detail. The effectiveness of the proposed infrared image segmentation algorithm is verified through the practical application of the infrared image segmentation algorithm in the detection of interior and exterior faults of electrical equipment.

An Infrared Image Segmentation Algorithm Based on Spatial Correlative Information

2010 ◽  
Vol 44-47 ◽  
pp. 3274-3278
Author(s):  
Ke Yong Wang ◽  
Cheng Tian Song ◽  
Jia Hao Deng
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Image Segmentation ◽  
Adaptive Algorithm ◽  
Infrared Image ◽  
Infrared Images ◽  
Background Condition ◽  
Complex Background ◽  
Infrared Image Segmentation ◽  
Image Segmentation Algorithm

Image segmentation is an important technique for image processing and computer vision. The principles of 1-D Otsu’s algorithm and thresholding through index of fuzziness are described. Since the infrared images of tank have low object-background contrasts and blurred boundaries in the complex background condition, an adaptive algorithm for image thresholding through index of fuzziness, which is combined with the spatial correlative information, is proposed. The new method makes full use of the spatial correlation of pixels, so that it can extract the detail of the image from the complex background effectively, and improve the accuracy of the segmentation. The results of experiments prove that the presented algorithm has better performance and better robustness against noise.

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