本文選題：煤礦監(jiān)控圖像 + 魚眼圖像��； 參考：《工礦自動化》2016年07期

【摘要】：針對煤礦井下視頻監(jiān)控系統(tǒng)中魚眼圖像的畸變問題,根據(jù)理想球面透視投影模型的保線性約束條件,提出一種面向內(nèi)容的校正參數(shù)自動獲取方法,即通過對魚眼畸變圖像進行數(shù)學形態(tài)學和隨機霍夫變換預(yù)處理得到所需的圖像邊緣特征直線,然后統(tǒng)計水平和垂直線段在總線段中的比例,分析統(tǒng)計結(jié)果,獲取最佳校正參數(shù)。為了減少圖像信息過多對校正參數(shù)獲取過程的影響,對理想球面透視投影模型進行了改進,提出一種改進的魚眼畸變圖像校正方法,實現(xiàn)了對圖像中心的轉(zhuǎn)移和部分區(qū)域的放大。實驗驗證了該方法對魚眼畸變圖像的校正效果較好。
[Abstract]:According to the linear constraint condition of ideal spherical perspective projection model, a content-oriented automatic method for obtaining correction parameters is proposed to solve the distortion problem of fish-eye image in underground video surveillance system of coal mine, according to the linear constraint condition of ideal spherical perspective projection model. The image edge feature line is obtained by mathematical morphology and stochastic Hough transform preprocessing of fish-eye distortion image. Then the proportion of horizontal and vertical line segments in the bus segment is calculated. The statistical results are analyzed and the best correction parameters are obtained. In order to reduce the influence of too much image information on the process of obtaining correction parameters, the ideal spherical perspective projection model is improved, and an improved correction method for fish-eye distortion image is proposed. The transfer of image center and the amplification of some regions are realized. Experimental results show that the proposed method is effective in correcting fish-eye distortion images.
【作者單位】： 華晉焦煤有限責任公司;中國礦業(yè)大學信息與電氣工程學院;
【基金】：國家自然科學基金資助項目(U1261105) 徐州市科技計劃項目(KC14SM099)
【分類號】：TD76;TP391.41
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本文編號：2114692