【摘要】：線條工具痕跡圖像中線條的精確定位是實(shí)現(xiàn)犯罪工具痕跡自動(dòng)檢驗(yàn)比對(duì)的關(guān)鍵.針對(duì)邊緣檢測(cè)方法易受到圖像噪聲的影響產(chǎn)生虛假邊緣,不能夠?qū)圹E中的實(shí)際線條進(jìn)行準(zhǔn)確定位,導(dǎo)致線條特征提取困難的問題,提出一種結(jié)合圖像上下文的二階導(dǎo)數(shù)邊緣融合線條精確定位方法.首先根據(jù)當(dāng)前線條工具痕跡人工比對(duì)方法定義圖像檢驗(yàn)的比對(duì)線,沿比對(duì)線方向計(jì)算圖像的二階導(dǎo)數(shù),并根據(jù)二階導(dǎo)數(shù)邊緣的性質(zhì)對(duì)導(dǎo)數(shù)值進(jìn)行規(guī)則融合,以計(jì)算線條痕跡中的脊線和谷線區(qū)域;然后根據(jù)人工線條痕跡比對(duì)經(jīng)驗(yàn)對(duì)線條區(qū)域進(jìn)行優(yōu)化規(guī)整,刪除深谷中的偽線條;最后結(jié)合圖像上下文計(jì)算脊線區(qū)域中顯著點(diǎn)實(shí)現(xiàn)線條的精確定位.在線條精確定位的基礎(chǔ)上,以二階導(dǎo)數(shù)絕對(duì)值最大脊線條、灰度值最大脊線條、最深谷為特征線條,以及特征線條之間的距離為配準(zhǔn)特征模板(向量)對(duì)實(shí)驗(yàn)樣本進(jìn)行配準(zhǔn),能夠?qū)ぷ鞑课痪哂休^顯著特征工具形成的痕跡實(shí)現(xiàn)較高配準(zhǔn)率.實(shí)驗(yàn)結(jié)果表明,文中提出的線條定位和配準(zhǔn)方法能夠快速實(shí)現(xiàn)線條工具痕跡圖像中線條的精確定位和配準(zhǔn),為實(shí)現(xiàn)線條工具痕跡自動(dòng)比對(duì)奠定基礎(chǔ).
[Abstract]:The accurate location of line in line tool trace image is the key to realize the automatic checking and comparing of criminal tool trace. Because the edge detection method is easily affected by image noise to produce false edge, it can not accurately locate the actual line in the trace, which leads to the difficulty of line feature extraction. In this paper, a new method of line location based on second derivative edge fusion combined with image context is proposed. First of all, according to the current line tool trace manual comparison method, the image inspection line is defined, the second derivative of the image is calculated along the alignment line direction, and the derivative value is fused regularly according to the property of the edge of the second derivative. To calculate the ridge and valley areas in line traces; Then according to the experience of manual line trace alignment, the line area is optimized, and the pseudo-line in the deep valley is deleted. Finally, the precise location of the line is realized by combining the image context to calculate the salient points in the ridge region. On the basis of the accurate location of the on-line strip, the experimental samples are registered with the second derivative absolute maximum ridge line, the grayscale maximum ridge line, the deepest valley feature line, and the distance between the feature lines as the feature template (vector). It can achieve a higher registration rate for the marks formed by the tool with obvious features of the working site. The experimental results show that the line location and registration method proposed in this paper can quickly realize the accurate location and registration of the lines in the line tool trace image, which lays a foundation for the automatic alignment of the line tool trace.
【作者單位】： 廣東警官學(xué)院計(jì)算機(jī)科學(xué)與技術(shù)系;廣東警官學(xué)院刑事科學(xué)技術(shù)系;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61471134) 公安部應(yīng)用創(chuàng)新項(xiàng)目(2015YYCXGDST026) 廣東警官學(xué)院創(chuàng)新團(tuán)隊(duì)項(xiàng)目(2015JSTD03)
【分類號(hào)】：TP391.41

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