Depth Image Processing and Operator Imitation Using a Custom Made Semi Humanoid

Semi-Automatic Image Labelling Using Depth Information

Image labeling tools help to extract objects within images to be used as ground truth for learning and testing in object detection processes. The inputs for such tools are usually RGB images. However with new widely available low-cost sensors like Microsoft Kinect it is possible to use depth images in addition to RGB images. Despite many existing powerful tools for image labeling, there is a ne...

Fragmentation measurement using image processing

In this research, first of all, the existing problems in fragmentation measurement are reviewed for the sake of its fast and reliable evaluation. Then, the available methods used for evaluation of blast results are mentioned. The produced errors especially in recognizing the rock fragments in computer-aided methods, and also, the importance of determination of their sizes in the image analysis ...

Demineralization Depth Using QLF and a Novel Image Processing Software

Quantitative Light-Induced fluorescence (QLF) has been widely used to detect tooth demineralization indicated by fluorescence loss with respect to surrounding sound enamel. The correlation between fluorescence loss and demineralization depth is not fully understood. The purpose of this project was to study this correlation to estimate demineralization depth. Extracted teeth were collected. Arti...

Surface Image Processing Operator

Morphological Image Processing Using Custom Instructions on Distributed Nios Processors

As a fundamental image processing block, morphological processing involves intensive computation and contributes significantly to an image processing system overhead. Depending on only spatially local data, several morphological operations can be implemented with parallel hardware to reduce the computation overhead. In this paper, we implement morphological image operations, which include dilat...