自動化檢測系統中基於無特徵區域置頂視窗辨識的方法

10.29428/9789860544169.201801.0083

何玫萱；蔡宇軒；徐震濤；莊仁輝

平滑化特徵 ； 均勻色區域 ； 自動化工業檢測 ； Featureless-based-region ； uniform block ； industrial automatic monitoring systems

NCS 2017 全國計算機會議

2017（2018 / 01 / 01）

435 - 438

繁體中文

工業化自動檢測系統，是目前工業化中不可或缺的一部分，本篇論文提供一種演算法用於擷取影像中置頂視窗的識別。為了獲得更好的準確率及穩定度，我們提出了一個基於背景特徵為基礎的檢測方法，用來檢測擷取影像中置頂視窗的位置。此一方法即是利用影像中最大均一色彩區域之間的相關性作為辨識的基礎。這個檢測法運用了幾個簡單的步驟找出特徵：(i)邊萃取，(ii)均一區塊萃取，(iii)均一區塊匹配。透過與樣本視窗的比對，計算出的匹配分數，來找出置頂視窗。實驗結果顯示經過此方法的判定，可有效地找出置頂視窗，並且此方法計算簡單，可及時找出所要的資訊，適合工業化線上使用。

As a vital part for industrial automatic monitoring systems, this paper presents the algorithm for top window recognition on screen-grabbed images. For better performance in terms of accuracy, efficiency, and robustness, we introduce a novel, background-based image feature of window region, i.e., locally-maximum uniform blocks extracted from regions of uniform color, to represent the practically unique spatial structure of background regions in different windows. The recognition procedure consists of several rather simple steps, c.f., foreground-based methods, which include (i) edge extraction, (ii) uniform block extraction, (iii) uniform block matching. The template window with highest matching score is then identified the top window, with its location determined simultaneously to facilitate further analysis of window content. Experimental results indicate that the proposed approach can achieve perfect recognition results for realistic image data from the industry, and also fulfill the near real-time processing requirement of on-line monitoring tasks.