Essays about: "Maximally Stable Extremal Regions"

Found 4 essays containing the words Maximally Stable Extremal Regions.

1. 1. Text Recognition in Natural Images : A study in Text Detection

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jan Brifkany; Anass El Yasini; [2020]
   Keywords : ;

   Abstract : In recent years, a surge in computer vision methods and solutions has been developed to solve the computer vision problem. By combining different methods from different areas of computer vision, computer scientists have been able to develop more advanced and sophisticated models to solve these problems. READ MORE

3. 2. Adherent Raindrop Detection

   University essay from Lunds universitet/Matematik LTH

   Author : Björn Ulfwi; [2018]
   Keywords : adherent raindrops; rain removal; temporal intensity difference; mser; convolutional neural networks; image analysis; computer vision; Mathematics and Statistics;

   Abstract : Raindrops adhered to the glass protecting a surveillance camera can significantly degrade the visibility of a scene. The goal of this master's thesis is to develop an accurate, efficient, computationally cheap algorithm that automatically detects adherent raindrops using only video and then removes them by activating the wipers or the shaking dome function. READ MORE

4. 3. On the Construction of an Automatic Traffic Sign Recognition System

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Fredrik Jonsson; [2017]
   Keywords : traffic sign recognition; object detection; image classification; mixture models; Gibbs sampling;

   Abstract : This thesis proposes an automatic road sign recognition system, including all steps from the initial detection of road signs from a digital image to the final recognition step that determines the class of the sign. We develop a Bayesian approach for image segmentation in the detection step using colour information in the HSV (Hue, Saturation and Value) colour space. READ MORE

5. 4. Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection

   University essay from KTH/Maskinkonstruktion (Inst.)

   Author : Inna Valieva; [2015]
   Keywords : RGB imaging; NIR imaging; Artificial Neural Networks; Tree species classification; Gray Level Co-occurrence Matrix; Maximally Stable Extremal Regions;

   Abstract : In this paper the brief overview of methods available for individual tree stems quality evaluation and tree species classification has been performed. The use of Near Infrared photometry based on conifer’s canopy reflectance measurement in near infrared range of spectrum has been evaluated for the use in autonomous forest harvesting. READ MORE