共查询到18条相似文献，搜索用时 337 毫秒
1.
基于图像处理的鱼卵计数方法研究 总被引：1，自引：0，他引：1
针对传统的鱼卵计数方法效率低、精度差、对鱼卵有损伤等缺点,提出了基于图像处理的鱼卵计数方法:通过Matlab软件中强大的图像处理功能,对经过Photoshop预处理的图像进行灰度化、去除噪音、二值化和形态学处理,采用连通图计数和面积计数法进行鱼卵的计数,精确性在95%以上。该方法减轻了操作者劳动强度,弥补了人视觉的不足之处,可以有效地提高工作效率和计数精度,并且可避免鱼卵损伤,有利于后续工作的开展,具有一定的理论和应用价值。 相似文献
2.
为实现藻类的自动计数,以小球藻为对象,提出一种基于荧光效应和调色板均衡化的小球藻自动计数方法。首先对小球藻荧光显微图像进行预处理,将真彩色小球藻荧光图像转换为256色图像,再采用调色板均衡化算法增强小球藻荧光图像对比度,并利用基于调色板的阈值分割算法将目标藻类与背景进行分割,同时进行计数。结果表明,该计数方法能够避免杂质影响,直接对藻类彩色图像进行图像增强和阈值分割,可以增强图像对比度,避免彩色图像灰度化过程中图像信息损失;采用连通区域标记方法结合连通区域的大小识别低重叠度藻类,可降低重叠藻类对计数结果的影响,从而提高小球藻的计算准确度。研究表明,该方法实现了针对藻类彩色图像的自动计数,且对小球藻的计数精度准确率达到95%以上,高于只使用灰度图像计数的方法。 相似文献
3.
对单帧大菱鲆鱼苗计数时,由于鱼苗的重叠,导致图像中的鱼苗粘连。为此采用计算机视觉的方法,提出了一种基于曲线演化的图像处理方法来解决鱼苗图像粘连问题,并完成对鱼苗的准确计数。将图像预处理后的二值化鱼苗粘连图像的轮廓曲线作为初始演化曲线,通过水平集方法对曲线进行常值演化,统计演化过程中最大轮廓曲线数作为鱼苗数量。对选取的10帧粘连比较严重的二值化鱼苗图像分别采用面积法、连通域法、曲线演化法进行分离计数研究。结果表明:曲线演化法在鱼体数目增多时仍有很好的分离计数效果,有利于使用数鱼机对鱼苗进行准确计数。 相似文献
4.
为解决传统人工计数存在效率低、成本高、对虾有损伤等问题,提出一种基于YOLOv5框架的养殖虾目标检测方法。利用高清摄像机采集高分辨率虾的图像数据样本,并针对高分辨率图像训练集设计自适应图片裁切预处理算法,通过将训练集进行自适应裁切,扩增训练数据量,减少原始图像训练过程中细节特征损失,提升目标检测准确度。结果表明：研究所提方法可以实现少量高分辨率图像下养殖虾的准确识别与计数,采用该算法对图像样本进行预处理,相比于原始数据集训练所得检测模型,在相同运算硬件条件下,具有更高的检测准确率,识别准确率为92.55%,召回率为98.78%,平均精度均值为97.5%。 相似文献
5.
山东省海洋水产研究所组织机械、电子、生物等多学科的科技人员联合攻关,历经一年的努力,研制成功新式虾苗光电计数器。日前,山东省水产局组织专家对这项成果进行技术鉴定。该所科技人员着重对计数精度、计数速度和计数损伤等技术指标,进 相似文献
6.
为了在鱼苗的饲养、运输和销售过程中对一定数量或批量的幼苗进行精确计数,提出了一种基于计算机视觉的鱼苗自动计数系统。利用流体力学中伯努利原理(Bernoulli principle)设计了一个稳定流速的稳流水箱,使鱼苗和水一起以平稳恒定的速度流过过流计数箱体的拍摄区;使用电荷耦合元件(CCD)高速摄像头以与水流速度成比例的帧速采集图像,并传送给计算机进行图像处理;对图像进行阈值分割和目标提取后,计算出每帧图像中不重叠区域的幼苗数量,累加求得幼苗总量。结果表明,该系统计数的相对误差在15%以内,具有较高的精度。该研究不仅解决了目标粘连、连续计数和重复计数的问题,还可推广到虾苗、蟹苗等生物幼苗计数,具有通用性强、可行性好、推广范围大的特点。 相似文献
7.
一种基于机器视觉的鱼苗自动计数方法 总被引：5，自引：1，他引：4
提出了一种基于机器视觉的鱼苗计数方法.对采集到的鱼苗灰度图像进行分析,通过数据拟合方法建立图像中鱼苗所占像素点数与鱼苗数的关系,并由此对鱼苗进行计数.采用常用的数字CCD摄像头,配合自行编写的图像处理软件,建立鱼苗计数试验系统.试验结果表明,点算图像内45尾、50尾鱼苗时,计数的准确率可达95%以上,计数时间在3 s以内. 相似文献
8.
在鱼类养殖上,孵化用水中普遍存在的水生真菌对鱼卵的感染是一个值得重视的问题。真菌爆发感染的发生及严重程度取决于水源、水温、水中有机物含量和孵化时间的长短。一旦真菌感染发生,会迅速向健康的鱼卵蔓延(Piper等,1982)。孵化管理人员通常是采用化学药物来控制真菌对鱼卵的感染。但是,用化学药物处理不仅会提高成本,也会直接导致鱼卵死亡。因此,为了最大限度地减少对化学药物的依赖,研究它种处理培育方法是十分必要的。 相似文献
9.
<正> 特罗姆瑟大学所属水产学院(挪威北部)发明了能脱去鲑鱼鱼卵的外套膜,剥去枪乌贼的表皮和大西洋鲱鱼的皮和鳞片,丝毫不损伤体表的“生物刀”。这把“刀”就是从废鱼残屑中发现的消化酶,目前这些酶在工业生产上还不能正常地进行分离合成。这些酶具有破坏生物结缔组织的特性。过去在处理鲑鱼鱼卵时,都是借助机器进行剥离操作的,加 相似文献
10.
明晰鱼卵运动规律是鱼类产卵场位置推算、水库生态调度和鱼类资源保护等研究的基础。尤其是对于产漂流性卵鱼类,当流水环境不足以维持鱼卵漂流时,鱼卵便下沉死亡而无法孵化成幼鱼。对照中国内陆鱼类名录,查阅了国内重要流域及地方鱼类志中有关产漂流性卵鱼类的繁殖条件,列举了典型产漂流性卵鱼类产卵水温、产卵月份和孵化时长等相关信息。针对现有鱼类志中对于鱼卵基本物理性质及鱼卵安全漂流孵化所需水动力条件几乎没有记载的情况,补充查阅了国内外相关文献,总结梳理了漂流性鱼卵安全漂流水动力条件的研究进展。一种观点认为鱼卵在水体中是否能安全漂流取决于水体的流速,另一种观点认为控制漂流性鱼卵悬浮或下沉的关键参数是湍流或剪切速度,而不是水流的线速度。现有漂流性鱼卵漂流的关键水动力条件和阈值尚有争议,仍需对鱼卵运动规律进行机理实验研究。在此基础上,总结梳理了目前国内外对鱼卵在水中漂流输移的研究方法和手段,主要是通过野外观测、室内实验和模型模拟三种方式进行。以上研究极大推进了对鱼卵运动机制的理解,但大多数研究都仅仅针对鱼卵运动规律本身进行单一的实验或模型研究,而对于如何通过水利工程生态调度创造满足漂流性鱼卵孵化所需的流水环境,提出水利水电工程生态环境效应多维调控方法是未来产漂流性卵鱼类保护研究的重要方向。 相似文献
11.
In marine aquaculture, fish populations constantly decrease throughout the cultivation period because of mortality and escape. Current production management systems provide limited opportunities to count the cultured fish, making it difficult to estimate accurately the fish population in the cage. To overcome this problem, an automatic fish identifying method based on particle tracking velocimetry (PTV) flow visualization technology is proposed in this paper. The proposed method utilizes an image processing unit that extracts individual fish from the acquired image and a motion analysis unit that calculates the motion vector for each individual. Thus, the accuracy of the extraction results in the image processing unit affects the system’s counting results. To validate the efficiency and robustness of the image extraction performed by the image processing unit, individuals were extracted from images using the open-source image deep learning semantic segmentation method (SegNet), which is able to distinguish between the background and foreground in the images via analysis at the pixel level. SegNet is able to improve the image discrimination performance by multiplying the learning paths, and the robustness of the detection results can be ensured by changing the layer structure according to the detection target. Accordingly, the use of SegNet was evaluated in terms of the number of layers and images in the training set. The results of this study indicate that the application of SegNet with PTV technology represents a promising method for the automatic identifying and behavioral tracking of fish in an aquaculture net cage. 相似文献
12.
为了保证鱼类行为数据采集的准确性和鲁棒性,本实验提出了一种干扰消除算法,对鱼目标三维定位算法进行优化。主要针对鱼目标三维信息采集平台中出现的一种由全反射引起的干扰现象,利用光学原理分析其出现原因,总结干扰现象特点,之后通过基于轮廓的运动目标跟踪方法,设计干扰消除算法,优化鱼目标三维定位算法,实现对干扰现象影响的消除,提高定位精度。通过对红鲫和仿真鱼的定位实验,结果发现,本实验提出的去干扰优化算法可以有效消除干扰像对于目标定位的影响,准确获取鱼目标的三维坐标,保证鱼目标三维定位跟踪的准确性和鲁棒性,提高鱼目标行为信息采集精度。 相似文献
13.
Alive eggs of marine species with pelagic eggs float, while dead eggs usually sink. A non-invasive method for counting the number of floating eggs therefore gives the possibility to track survival throughout experiments. In this paper we present an automatic image analysis method for counting live pelagic eggs of marine fish. Pelagic fish eggs are typically transparent and difficult to detect in images. Current image analysis methods for counting pelagic fish eggs are therefore done on eggs transfixed in a polymer to create contrast between the eggs and the background. This kills the eggs. The main advantage of the presented method is that it is non-invasive and only requires a minimum of handling of the eggs. As case studies we collected images of Atlantic haddock (Melanogrammus aeglefinus) and Atlantic cod (Gadus morhua) eggs. The eggs in the images were manually counted for verification of the methodology. The average counting error of false positives was 6% and the average counting error of false negatives was 2%. This demonstrates that the method is objective and accurate. 相似文献
14.
N. Papanikos R.P. Phelps K. Williams A. Ferry D. Maus 《Fish physiology and biochemistry》2003,28(1-4):487-488
Egg and larval quality of red snapper, Lutjanus campechanus from natural spawns of domesticated brooders and hormone-induced spawns of wild fish were compared. Eggs and larvae from natural spawns were found to be more viable in terms of fertilization, hatching and survival rate. Also, eggs from natural spawns were larger, and eggs and recently hatched larvae had larger oil-globule. These findings indicate that natural spawning of red snapper can be a sustainable and reliable source of good quality eggs. 相似文献
15.
In this work, acoustic and computer vision techniques are combined to develop an automatic procedure for biomass estimation of tuna during transfers. A side scan sonar working at 200 kHz and a stereo camera, positioned facing towards the surface to record the ventral aspect of fish, are set as acquisition equipment. Moreover, a floating structure has been devised to place the sensors between cages in transfers, creating a transfer canal that allows data acquisition while fish swim from donor to receiving cage. Biomass assessment is computed by counting transferred tuna and sizing a representative sample of the stock. The number of transferred tuna is automatically deduced from acoustic echograms by means of image processing techniques, whereas tuna size is computed from the stereo videos using our automatic computer vision procedure based on a deformable model of the fish ventral silhouette. The results show that the system achieves automatic tuna counting with error below 10%, achieving around 1% error in the best configuration, and automatic tuna sizing of more than 20% of the stock, with highly accurate Snout Fork Length estimation when compared to true data from harvests. These results fulfil the requirements imposed by International Commission for the Conservation of Atlantic Tunas for compliant transfer operations. 相似文献
16.
冰冻杂鱼切块机精准自动控制技术研究 总被引：1，自引：0，他引：1
为提高渔业养殖效率,改变现有杂鱼块不平整和破碎率较高等缺点,研制了一种自动化程度较高的冰冻杂鱼切块机。采用变频调速技术,以通用串行通信接口通讯协议实现西门子PLC与MM440变频器通讯,用普通齿轮减速电机进行杂鱼切块宽度调节,用测距传感器进行精确测距,对射式光电计数器进行切块计数。通过PLC控制变频器参数,设置减速电机的运行参数,再运用PLC与上位机之间的串口通讯,实现良好的人机交互,从而完成切块机精准自动控制。性能测试结果显示,在额定电压400 V条件下,切块速度25~35块/min,可将600 mm×400 mm×80 mm的杂鱼板切成宽60~90 mm,宽度可调;空载状态下,功率0.26 k W,负载运行时的转速、功率、扭矩成正比。在指定宽度下,切块精度为±5%,切块个数准确。研究表明,该控制系统可靠,适合在沿海渔业养殖中应用推广。 相似文献
17.
Automated acoustic method for counting and sizing farmed fish during transfer using DIDSON 总被引：1，自引：0，他引：1
Counting and sizing large farmed fish such as tuna is often performed during their transfer from one net cage to another.
Dual-frequency identification sonar (DIDSON) provides an automated fish counting and sizing tool. However, its counter and
sizer are not suitable for measuring farmed fish because of net movements due to currents and subsequent frequent image breakups.
This paper presents a fully automated acoustic method to count and size farmed fish during fish transfer by using DIDSON imaging.
The background is subtracted from the image after being stabilized by an image phase-only correlation method. The segmentation
of the fish is obtained by tracing the edges with a contour tracing method. To prevent recounting the same fish, a Kalman
filter algorithm was designed and adapted to predict fish movements. Automated counting was performed by analyzing the spatiotemporal
trajectory of the track. The separated fish images were searched for and body length was obtained by summing down the centerline
segments from the head to the tail of the fish. The proposed system was verified using farmed yellowtail, Seriola quinqueradiata (mean total length 83.1 cm) to obtain a sizing error of mean total length within 2.4 cm. 相似文献
18.
鱼类的体重、体长等表型性状是水产养殖和遗传育种中非常重要的经济性状，为了避免人工测量的不确定性、误差随机性和效率低下的问题，本研究开发出一种基于Mask Region Convolutional Neural Network (Mask R-CNN) 的自动化、无侵入式鱼类图像分割和表型性状测量的装置。该装置包括图像采集装置和控制软件两部分，其中图像采集装置可以测量不同规格鱼类 (体长1~40 cm)。基于Mask R-CNN的控制软件，可以对图片进行目标性状的训练和预测，实现目标数据的测量、存储和管理。本研究利用该装置对477尾3月龄大黄鱼进行了图像采集和基于大黄鱼图像的体长、体高、体重性状预测。研究表明，利用该装置测量的大黄鱼体长和体高的平均相对误差均小于4%。基于体长、体高、体表面积的多元回归模型对体重进行拟合，测量值与真实体重的相关系数为0.99，平均相对误差为4%，对每张图片的平均处理时间为3 s，测量速率是人工的8倍。该系统可以实现自动化、高效、准确地获取大黄鱼体型与体重性状，为大黄鱼种质资源评价、良种选育和种质创新提供更加便捷高效的表型测评工具。 相似文献