M. C. Bakkay, Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation, IET Computer, 2017.

R. Deriche, Using canny's criteria to derive a recursively implemented optimal edge detector, IJCV, 1987.

M. Kass, Snakes : Active contour models, IJCV, 1988.

K. Wagstaff, Constrained k-means clustering with background knowledge, Int. Conf. on Machine Learning, 2001.

D. Comaniciu and P. Meer, Mean shift: a robust approach toward feature space analysis, IEEE PAMI, 2002.

C. Cortes, Support-vector networks, Machine learning, 1995.

Y. Lecun, Convolutional networks for images, speech, and time series, The handbook of brain theory and neural networks, 1995.

N. Dalal and B. Triggs, Histograms of oriented gradients for human detection, IEEE CVPR, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548512

D. Lowe, Distinctive image features from scale-invariant keypoints, 2004.

S. Schurischuster, Sensor study for monitoring varroa mites on honey bees (apis mellifera), Visual observation and analysis of Vertebrate And Insect Behavior Workshop, 2016.

S. Kang, Identification of butterfly based on their shapes when viewed from different angles using an artificial neural network, Journal of Asia-Pacific Entomology, 2014.

Y. Kaya and L. Kayci, Application of artificial neural network for automatic detection of butterfly species using color and texture features, The visual computer, 2014.

J. Wang, A new automatic identification system of insect images at the order level, 2012.

W. Ding and G. W. Taylor, Automatic moth detection from trap images for pest management, Computers and Electronics in Agriculture, 2016.

H. Yalcin, Vision based automatic inspection of insects in pheromone traps, IEEE Int. Conf. on Agro-Geoinformatics, 2015.

Y. Qing, An insect imaging system to automate rice light-trap pest identification, Journal of Integrative Agriculture, 2012.

C. O. Wen, Pose estimation-dependent identification method for field moth images using deep learning architecture, Biosystems Eng, 2015.

H. A. Rashwan, Towards multi-scale feature detection repeatable over intensity and depth images, ICIP, 2016.

R. Tibshirani, Estimating the number of clusters in a data set via the gap statistic, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2001.

F. Meyer, Color image segmentation, IET Int. Conf. on Image Processing and its Applications, 1992.

H. Rashwan, Using curvilinear features in focus for registering a single image to a 3d object, 2018.

R. Kohavi, A study of cross-validation and bootstrap for accuracy estimation and model selection, IJCAI, 1995.