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Category Archives: PhD
Making sense of my software.
Today I needed a functionality that I was sure that I had already coded. Given that I have a bunch of active projects in different places in a semi-active status, I got a little confused and it took me some … Continue reading
Image segmentation based on pixel color: update.
I have continued to play with this and have increased the quality of my results. I have done some changes to the initial processing and I still need to experiment with lots of possibilities. Color space. I stuck with the … Continue reading
Image segmentation based on pixel color looks promising
Finally some expected results!!! Past Week(s): After consulting with some very talented computer vision professors, I decided to continue with Image segmentation based on pixel color. The idea is to segment the image based only on the value of a … Continue reading
Paper: A Universal and Robust Human Skin Color Model Using Neural Networks
The paper is interested in classifying pixels as skin/no-skin. They use YCbCr color space for their experiments. They analyse the behavior of this color space with respect to skin color. The found that the Y dimension does not have a … Continue reading
Better annotations -> Better PCA.
One of the issues that I identified in previous posts was that the original annotations were not of good quality. This included annotations that were incorrect and annotations that pointed to images that did not have enough differentiating information. I … Continue reading
Posted in annotation, PhD
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Paper: Digital Image Classification for Malaysian Blooming Flower
This paper has an impressive related work section. It describes work done in image processing related to segmentation and Neural Networks. From the context I believe that the paper only tries to detect one type of flower (The title also … Continue reading
Posted in papers, PhD
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Paper: A visual Vocabulary for Flower Classification
The idea behind this paper is to try to classify objects based on more than one differentiating feature. The ones they used where colour, shape and texture. Each feature follows a different process but all end up being vectors. At … Continue reading
Posted in papers, PhD
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Paper: Automated flower classification over a large number of classes
The problem tackled by this paper is how a combination of features can improve classification on datasets of similar classes. The work with a flower data set that has large between class similarity and small within class similarity. Before they use the features they … Continue reading
Posted in papers, PhD
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Paper: Delving into the Whorl of flower segmentation
A lot of the assumptions in this paper make me feel that this is not the direction where we should be headed. They assume that all the pictures they analyse contain a flower. For them someone has already classified the pictures as … Continue reading
Posted in papers, PhD
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Annotations: Things to improve
Took a closer look at things that need to be improved in the annotation process. Spent the day extracting specific examples of what went wrong and how to solve/avoid it. Here are my findings: Improve the annotations themselves The nature … Continue reading
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