本文選題：視頻監(jiān)控 + 圖像處理��； 參考：《北京郵電大學(xué)學(xué)報(bào)》2017年S1期

【摘要】：借助于監(jiān)控視頻實(shí)時(shí)提取內(nèi)河船舶運(yùn)行流量等參數(shù)的船舶檢測系統(tǒng)得以廣泛應(yīng)用,而傳統(tǒng)的視頻檢測方法往往難以有效區(qū)分船體邊界,造成顏色、紋理相似的前景和陰影區(qū)域檢測相混淆.為此,解析了HSV顏色特征和LBP紋理不變性檢測陰影原理,改進(jìn)SE-CT陰影去除算法,提出基于顏色和紋理梯度特征GA-HT梯度填充的船舶陰影去除算法.測試表明,GA-HT算法能很好地去除船舶陰影,提高船舶的目標(biāo)識別的精度和實(shí)時(shí)性,陰影檢測綜合指標(biāo)F達(dá)到92%.
[Abstract]:The ship detection system based on real-time extraction of parameters such as the running flow of inland river ships with the help of surveillance video has been widely used, but the traditional video detection methods are often difficult to distinguish the hull boundaries effectively, resulting in color. Texture similar foreground is confused with shadow area detection. In this paper, the principle of HSV color feature and LBP texture invariance detection is analyzed, the SE-CT shadow removal algorithm is improved, and the ship shadow removal algorithm based on color and texture gradient GA-HT gradient filling is proposed. The test results show that the GA-HT algorithm can remove ship shadow and improve the accuracy and real-time performance of ship target recognition. The comprehensive index F of shadow detection is 92g.
【作者單位】： 南京大學(xué)電子科學(xué)與工程學(xué)院;
【基金】：國家自然科學(xué)青年基金項(xiàng)目(61502226) 國家船聯(lián)網(wǎng)重大專項(xiàng)項(xiàng)目(2012-364-641-209)
【分類號】：TP391.41

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