Abstract

The liquid crystal display module (LCM), which is used to show images and videos, is the most significant component of LCD TV. To assembly a LCM, the open cell should be put exactly into the backlight unit (BLU). To accomplish the task quickly, this paper proposes a heuristic method to detect the pose of the BLU. Firstly, the coarse rotation angle of a BLU is detected with the dominant orientations (DOs). The DOs are obtained with the gradient orientation statistical histograms based on a region growing strategy. Secondly, the optimal pose of the BLU is searched with the heuristic hybrid bacterial foraging algorithm (HHBFA) which can avoid the time consuming exhaustive search (ES). HHBFA is designed according to the distribution characteristics of the similarity to find the optimal pose. The proposed method is evaluated on an image database acquired from the assembly lines. Experimental results prove the efficiency of the proposed method and highlight the superiority of it.

中文翻译：

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背光单元姿态检测的启发式混合细菌觅食算法

摘要

用于显示图像和视频的液晶显示模块（LCM）是LCD TV的最重要组成部分。要组装LCM，应将开孔电池准确地放入背光单元（BLU）中。为了快速完成任务，本文提出了一种启发式方法来检测BLU的姿势。首先，以优势方向（DOs）检测BLU的粗旋转角。通过基于区域增长策略的梯度方向统计直方图获得DO。其次，使用启发式混合细菌觅食算法（HHBFA）搜索BLU的最佳姿势，这可以避免耗时的详尽搜索（ES）。根据相似性的分布特征设计HHBFA，以找到最佳姿势。在从装配线获取的图像数据库上对提出的方法进行了评估。实验结果证明了该方法的有效性，突出了该方法的优越性。