南京林业大学学报(自然科学版)
南京林業大學學報(自然科學版)
남경임업대학학보(자연과학판)
Journal of Nanjing Forestry University(Natural Science Edition)
2015年
5期
129-134
,共6页
木材单板%颜色直方图%颜色空间%图像检索%木材图片基础数据库
木材單闆%顏色直方圖%顏色空間%圖像檢索%木材圖片基礎數據庫
목재단판%안색직방도%안색공간%도상검색%목재도편기출수거고
wood veneer%color histogram%color space%image retrieval%basic database of wood image
为解决市场上常见木材单板的快速识别问题,开发基于图像比对的常用树种木材单板的识别技术,使常用树种木材单板的识别变得简单,以常见装饰单板的彩色图像为对象,颜色直方图为单板颜色的量化指标,利用相关系数算法,开展了RGB、HSV和Gray颜色空间下木材单板图像的检索技术研究. 结果表明:在建立常见树种木材单板图像数据库的基础上,利用颜色直方图可以对木材单板进行检索及识别;不同颜色空间下, RGB和HSV直方图检索准确率优于Gray直方图,前两者准确率为99%,而后者仅为88%. 分析认为,基础数据库中各树种标准图片的选取是影响检索准确率的重要因素,各树种的标准图片应包含该树种最大的颜色差异,且能明显区别于其他树种.
為解決市場上常見木材單闆的快速識彆問題,開髮基于圖像比對的常用樹種木材單闆的識彆技術,使常用樹種木材單闆的識彆變得簡單,以常見裝飾單闆的綵色圖像為對象,顏色直方圖為單闆顏色的量化指標,利用相關繫數算法,開展瞭RGB、HSV和Gray顏色空間下木材單闆圖像的檢索技術研究. 結果錶明:在建立常見樹種木材單闆圖像數據庫的基礎上,利用顏色直方圖可以對木材單闆進行檢索及識彆;不同顏色空間下, RGB和HSV直方圖檢索準確率優于Gray直方圖,前兩者準確率為99%,而後者僅為88%. 分析認為,基礎數據庫中各樹種標準圖片的選取是影響檢索準確率的重要因素,各樹種的標準圖片應包含該樹種最大的顏色差異,且能明顯區彆于其他樹種.
위해결시장상상견목재단판적쾌속식별문제,개발기우도상비대적상용수충목재단판적식별기술,사상용수충목재단판적식별변득간단,이상견장식단판적채색도상위대상,안색직방도위단판안색적양화지표,이용상관계수산법,개전료RGB、HSV화Gray안색공간하목재단판도상적검색기술연구. 결과표명:재건립상견수충목재단판도상수거고적기출상,이용안색직방도가이대목재단판진행검색급식별;불동안색공간하, RGB화HSV직방도검색준학솔우우Gray직방도,전량자준학솔위99%,이후자부위88%. 분석인위,기출수거고중각수충표준도편적선취시영향검색준학솔적중요인소,각수충적표준도편응포함해수충최대적안색차이,차능명현구별우기타수충.
To solve the problem of quick identification of typical wood veneers, color images of common decorative ve?neers were studied using color histogram as quantitative index of veneer colors, and image retrieval techniques of wood veneers in terms of RGB, HSV and Gray color spaces were investigated based on the algorithm of correlation coefficient, in order to develop a new wood veneer recognition technique based on image comparison allowing for simplification of the recognition process. Result showed that the color histogram could be used for retrieving and recognizing wood veneers once the basic image database of the common wood species veneer was set up. The histogram retrieval accuracies of RGB and HSV are better than Gray histogram, and the accuracy of the first two is 99%, but the latter is only 88%. The selec?tion of representative images of wood species in the basic database is an important factor which affects the retrieval accu?racy. Moreover, the selected representative image of each species should contain its maximum color difference, differing significantly from other species.