科技通报
科技通報
과기통보
Bulletin of Science and Technology
2015年
10期
124-126
,共3页
图像%矫正%边缘识别%轮廓线提取
圖像%矯正%邊緣識彆%輪廓線提取
도상%교정%변연식별%륜곽선제취
image%correction%edge detection%contour extraction
对图像的断面进行偏移场矫正,增强对正确目标边缘的识别能力.由于图像中存在的灰度不均匀断面特征和线性偏移场,对图像断面的边缘有效识别困难,传统方法采用轮廓线提取方法进行断面边缘识别,受到边缘轮廓线的线性偏移限制,识别效果不好.提出一种基于偏移场矫正的图像断面边缘识别优化算法.通过核函数引入局部灰度信息建立了偏移场矫正模型,将去噪后的断面信号进行灰度均衡预处理,对于相邻区域传递的消息进行收敛性判断,增强了演化曲线对正确目标边缘的识别能力.研究得出,采用该算法进行图像边缘识别,具有更低的差错率.算法将在远程图像识别和地理遥感特征提取探测等领域具有较好的应用价值.
對圖像的斷麵進行偏移場矯正,增彊對正確目標邊緣的識彆能力.由于圖像中存在的灰度不均勻斷麵特徵和線性偏移場,對圖像斷麵的邊緣有效識彆睏難,傳統方法採用輪廓線提取方法進行斷麵邊緣識彆,受到邊緣輪廓線的線性偏移限製,識彆效果不好.提齣一種基于偏移場矯正的圖像斷麵邊緣識彆優化算法.通過覈函數引入跼部灰度信息建立瞭偏移場矯正模型,將去譟後的斷麵信號進行灰度均衡預處理,對于相鄰區域傳遞的消息進行收斂性判斷,增彊瞭縯化麯線對正確目標邊緣的識彆能力.研究得齣,採用該算法進行圖像邊緣識彆,具有更低的差錯率.算法將在遠程圖像識彆和地理遙感特徵提取探測等領域具有較好的應用價值.
대도상적단면진행편이장교정,증강대정학목표변연적식별능력.유우도상중존재적회도불균균단면특정화선성편이장,대도상단면적변연유효식별곤난,전통방법채용륜곽선제취방법진행단면변연식별,수도변연륜곽선적선성편이한제,식별효과불호.제출일충기우편이장교정적도상단면변연식별우화산법.통과핵함수인입국부회도신식건립료편이장교정모형,장거조후적단면신호진행회도균형예처리,대우상린구역전체적소식진행수렴성판단,증강료연화곡선대정학목표변연적식별능력.연구득출,채용해산법진행도상변연식별,구유경저적차착솔.산법장재원정도상식별화지리요감특정제취탐측등영역구유교호적응용개치.
The image of the section of bias field correction, enhancement of the right edge of target recognition ability. Be-cause the gray scale images in the presence of non-uniform section features and linear displacement field, on the edge of the effective identification difficult image section, traditional methods of extracting method of section edge recognition us-ing contour line, contour offset by linear constraints, the recognition effect is not good. A bias field correction section optimi-zation algorithm based on image edge recognition is proposed. The kernel function by introducing a local gray information established correction model displacement field, will carry on the pretreatment to the gray balance section signal noise, for the adjacent zone transfer message to judge the convergence, enhanced the evolution curve recognition ability to the correct target edge. The results of this study, using the algorithm for image edge detection, it has a lower error rate. The algorithm will have good application value in the field of remote image recognition of remote sensing and geographic feature extrac-tion detection etc.