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This paper focuses on the problem of person detection in harsh industrial environments. Different image regions often have different requirements for the person to be detected. Additionally, as the environment can change on a frame to frame basis even previously detected people can fail to be found. In our work we adapt a previously trained classifier to improve its performance in the industrial environment...
Content based image retrieval is highly used in computer vision in order to solve image retrieval problems. The proposed method is based on the information provided by the histogram analysis of intensity/grayscale values of images. Some additional properties are also calculated and used that are based upon regional characteristics of various objects in the image. The need to retrieve the additional...
Image segmentation plays an important role in image analysis and computer vision system. Among all segmentation techniques, the automatic thresholding methods are widely used because of their advantages of simple implement and time saving. Otsu method is one of thresholding methods and frequently used in various fields. Two-dimensional (2D) Otsu method behaves well in segmenting images of low signal-to-noise...
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