基于DCP算法增强暗纹东方鲀胚胎图像  

Image enhancement of Takifugu obscurus embryos based on DCP algorithm

作　　者：冯国富[1,2] 刘亚蕊 陈明[1,2] 翁正 王耀辉 FENG Guo-fu;LIU Ya-rui;CHEN Ming;WENG Zheng;WANG Yao-hui(School of Information,Shanghai Ocean University,Shanghai 201306,China;Shanghai Ocean University,Key Laboratory of Fishery Information,Ministry of Agriculture and Rural Affairs,Shanghai 201306,China;Nantong Longyang Aquatic Products Co.,Ltd.,Nantong 226634,China)

机构地区：[1]上海海洋大学信息学院,上海201306 [2]上海海洋大学,农业农村部渔业信息重点实验室,上海201306 [3]南通龙洋水产有限公司,江苏南通226634

出　　处：《江苏农业学报》2021年第6期1493-1500,共8页Jiangsu Journal of Agricultural Sciences

基　　金：江苏省现代农业产业关键技术创新项目[CX(20)2028]

摘　　要：为了能够精准地识别出暗纹东方鲀胚胎发育的各个时期,提高人工繁殖和杂交育种的成活率,采用暗通道先验(DCP)算法和它的2个反演以及推导,对胚胎图像进行增强。推导出4种透射率,再结合像素值的缩小和放大最终生成8种增强效果。其中图像增亮与图像增暗结合的A+X组合算法效果最佳,增强后的图像细节信息更加丰富,各个时期的特征更加清晰。选用多目标检测算法YOLOv5网络对图像中的胚胎进行提取和分类。结果表明,增强后图像分类结果的准确率比原始图像提高4.5%,损失函数降低0.16%。In order to accurately identify each stage of embryonic development of Takifugu obscurus and improve the survival rate of artificial reproduction and cross breeding,dark channel prior(DCP)algorithm and its two inversions and derivation were used to enhance embryo image.Among them,four kinds of transmittances were derived in this study,and eight kinds of enhancement effects were finally generated by combining the reduction and amplification of pixel values.Through comparative analysis,A+X combination algorithm combining image brightening and image darkening had the best effect.The enhanced image details were more abundant,and the features of each period were clearer.The YOLOv5 network,a multi-target detection algorithm,was selected to extract and classify embryos in the images.The results showed that the classification accuracy of enhanced image was 4.5%higher than that of original image,and the loss function was 0.16%lower.

关 键 词：暗纹东方鲀 胚胎检测 暗通道先验 图像增强 YOLOv5网络 

分 类 号：S961.2[农业科学—水产养殖]