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Identification of influential factors for underwater laser imaging

机译:识别水下激光成像的影响因素

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Both the design of experiment (DOE) process and the Taguchi method have been used to study the measurement characteristics of underwater laser imaging. Diverse factors that might have a substantial effect on the quality characteristic of the underwater laser imaging were selected for further assessment. Two sets of experiments were performed for finding out the performance distinction between the imaging systems with monochrome and color video cameras. To facilitate the assessment of the quality characteristic, three various algorithms were developed for detecting the peak location of the laser spot formed on the captured image. Formulas for factors related to image processing such as brightness and contrast were defined. The results indicate that brightness, contrast, and peak detection algorithm are the main factors to dominate the performance of the monochrome imaging system. As for the color imaging system, brightness, contrast, peak detection algorithm, sampling range, and specific primary color for intensity computation are all critical to the system performance. It is also interesting to note that a good selection of the image resolution and the sampling range can shorten the computing time and get high precision results.
机译:实验设计(DOE)过程和田口方法都用于研究水下激光成像的测量特性。选择了可能对水下激光成像的质量特性产生重大影响的各种因素,以进行进一步评估。进行了两组实验,以找出单色和彩色摄像机成像系统之间的性能差异。为了促进质量特性的评估,开发了三种不同的算法来检测在捕获图像上形成的激光光斑的峰值位置。定义了与图像处理有关的因素的公式,例如亮度和对比度。结果表明,亮度,对比度和峰值检测算法是决定单色成像系统性能的主要因素。对于彩色成像系统,亮度,对比度,峰值检测算法,采样范围以及用于强度计算的特定原色对于系统性能都是至关重要的。有趣的是,对图像分辨率和采样范围的良好选择可以缩短计算时间并获得高精度结果。

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