Relevant physiological studies have revealed that the response of the classical receptive field (CRF) to visual stimuli could be suppressed by non‐CRF (nCRF) inhibition of the kernel in the primary visual cortex (V1). Based on this mechanism, many bio‐inspired contour detection models have been proposed, which are mainly achieved through CRF responses and nCRF surround inhibition calculation. In fact, the dynamic characteristics of neurons play an important role in contour detection in biological vision. Inspired by these visual mechanisms, the authors propose a contour detection model that emulates these dynamic characteristics. By introducing a multi‐bandwidth Gabor filter, according to the target image, they can effectively adjust the weight ratios of the filter to protect the contours and filter the background textures in the calculation of CRF responses. Additionally, they logarithmically modulate the nCRF inhibition kernel to make texture suppression more flexible and effective, thus improving the accuracy of detection algorithm as a whole. Compared with existing bio‐inspired contour detection models, the proposed model is more effective at contour detection, which will aid engineering applications that utilise pattern recognition in machine vision.
Abstract-The pressure drop is the main parameter which influences the safe operation of the gelled crude oil hydraulic suspension transportation system. According to the current specification for design of oil and gas gathering and transferring rules three types of frictional resistance coefficient calculation model (Colebrook formula, Isaev formula and Atlas Schur formula), contrast and analyse the pressure drop values measured in gelled crude oil hydraulic suspension transportation and calculated with the model. The results show that the pressure drop calculated with Colebrook, Isaev and Atlas Schur formulas error exceeding 71%, and they are not suitable for pressure drop calculation of gelled crude oil hydraulic suspension transportation. So new methods for pressure drop calculation should be found .
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