An adaptive Butterworth highpass filter is presented to detect a small target under sea-sky complex background. By calculating the weighted information entropy of different infrared images, cutoff frequency can be changed adaptively. Experimental results show that it robust detection method.

In this work, a visualization experiment for rectangular channels was carried out to explore gas–liquid two-phase flow characteristics. Typical patterns, including bubble, elastic and mixed flows, were captured by direct imaging technology the corresponding measurements with fluctuation characteristics recorded using an electrical conductivity sensor. Time-domain frequency-domain of each pattern analyzed probability density function power spectral curve. The results showed that feature...

The field of CT imaging has been witnessing significant advancements. However, extracting precise information from complex image data remains a challenging task. This study focuses on automating the extraction images. In our study, we adopt U-Net architecture, multi-scale blurring technique data, to obtain multi-resolution representation. method is specifically designed capture at various granularities, more detailed broader structures. After applying this multi-step blur, calculate...

The aim of this work is to introduce a novel statistical technique for quantifying the concentration field uniformity liquid-liquid mixing process within micro-scale chaotic pipeline. For illustration, microscale mixer in which inlet direction parallel unit designed by using pipeline with Baker map. Meanwhile, non-uniformity coefficient method adopted quantificationally instead qualitatively estimating micromixer based on uniform design theory and image analysis. Results show that...

Abstract A modern chaos detection strategy for imaging measurements is proposed in this work to quantify the thermal mixing state quality a metallurgical reactor stirred by top‐blown air. Specifically, improved C‐C algorithm reconstruct phase space of nonlinear time series bubble characteristics under conditions. Moreover, decision tree introduced extract chaotic two‐phase system first time. Experimental and calculated results show that all possible states are visualized reconstructing with...

In this paper, we propose an image target tracking algorithm for embedded platform. Our proposed can process 1280 × 720 resolution video sequences and provide accurate in real time. the algorithm, adaptive local edge detection method is employed to extract feature pixels of a tracked object. To reduce errors, region-based binary pattern was describe Finally, implemented object platform achieve real-time execution experimental testing complex environment.

Abstract A new approach to extract the chaotic characteristics of two‐phase stirring and mixing state is proposed for bottom‐blown oxygen‐enriched bath smelting process copper. By quantifying local in stirred reactor bottom‐blowing copper smelting, an improved 0–1 test method was introduced measure a time series index. It found that different channels RGB image turbulence flow field are not same contour feature extraction bubble; single‐channel horizontal profile single‐ double‐distributor...

The 0-1 test for chaos, which is a simple binary method, has been widely used to detect the nonlinear behaviors of non-cascade chaotic dynamics. In this paper, validity checks chaos popular cascade Logistic-Cubic (L-C) system conducted through exploring effects sensitivity parameters. Results show that periodic, weak-chaotic, and strong-chaotic states L-C can be effectively identified by introduced method detecting chaos. Nevertheless, two parameters, including frequency ω amplitude α, are...

Solid–liquid mixing has been a common industrial process operation. The measurement of solid–liquid quality can help improve the efficiency related processes, but there is still lack an intuitive, accurate, and simple method. As important indicator to evaluate quality, degree solid suspension uniformity distribution are directly mass transfer reaction efficiency. Therefore, it necessary study in system. In this work, system composed glass beads–water stirred by impeller studied...

Traditional linear regression and neural network models demonstrate suboptimal fit lower predictive accuracy while the quality of electrolytic copper is estimated. A more dependable accurate model essential for these challenges. Notably, maximum information coefficient was employed initially to discern non-linear correlation between nineteen factors influencing five control indicators. Additionally, random forest algorithm elucidated primary governing quality. hybrid model, integrating...

A new detection method is presented for the of dim small targets from infrared image sequences presented. Firstly, Robinson guard filter suppresses background clutter in single frame. Secondly, a auto-adaptive threshold algorithm applied to segment potential background. Finally, bi-direction chain used identify real target base on continuity moving and consistency track sequential images. Experimental result shows that proposed feasible.