Hae LUTPubista
Aineistot 1-10 / 12
CNN-based ringed seal pelage pattern extraction
(2020)
The topic of this thesis is inspired by the conservation efforts of Saimaa ringed seals, which are in danger of becoming extinct with no appropriate actions. The work aims to develop a fur pattern extraction framework to ...
Metric learning based pattern matching for species agnostic animal re-identification
(2021)
In the active effort to monitor and protect endangered animal species, modern technology is replacing the previously used conventional techniques of tracking using GPS or tagging which are considered invasive in nature. ...
Smart grasping of known objects
(2020)
Smart grasping means that a robot can automatically decide which object and how an object can be grasped. Firstly, a neural network should find the objects and get a 2D bounding box. The convolution neural network is used ...
Image clustering for unsupervised analysis of plankton data
(2020)
Advancements in automated imaging has made it possible to enhance the data both in terms of quantity and quality. This has prompted the development of plankton imaging systems for acquiring the species level information ...
Instance segmentation of Ladoga ringed seals
(2020)
The wildlife photo-identification is an important issue today since it allows to identify and to track animals. It helps scientists to monitor the endangered species, although it is difficult to explore all the image ...
Improving the performance of Bayesian deep model training for artery-vein segmentation
(2020)
Retinal images are an important tool for diagnosis of ocular diseases. Automating the process of screening the retinal images would allow wider screening and make diagnosing of patients’ swifter. The possibility of performing ...
Plankton image clustering using similarity metric learning
(2022)
Technological advancement has evolved the imaging equipment used in plankton imaging. Nowadays it is possible to take images more efficiently. Due to the increased amount of images the processing time is longer. The ...
Active learning for plankton recognition
(2022)
Plankton is essential part of the ocean ecosystem as it is an important food source for many marine life, both large and small and is also oxygen producer. Therefore, its quantity and condition must be monitored and its ...
Deep learning for point cloud segmentation with applications to sawmill industry
(2022)
Nowadays, the integration of digital technologies in enterprises is happening everywhere. The sawmill industry is no exception. The various stages of production at sawmills are being improved through the use of information ...
Segmenting knots in X-ray CT scans of logs
(2023)
The main objective of this thesis is to solve the problem of segmenting wood knots within and on the surface of wood logs by using three-dimensional (3-D) image data of wood logs obtained from X-ray Computerized Tomography ...