Tag: VSCode Copilot

Erosion Dilation to Fill Holes and Find Peaks

In this post we will experiment with the contents of the section on Filling Holes and Finding Peaks Using Erosion and Dilation of the PluralSight course Building Image Processing Applications Using scikit-image by Janani Ravi.

It seems that this as most of the other sections stand on its own. The idea is to find out that such a library exists, what it is used for, experiment with it, and if the need arises in the future, you will have a basic understanding of how to use the feature. Continue reading “Erosion Dilation to Fill Holes and Find Peaks”

Denoising

Good morning. Similar to yesterday’s weather here in the Twin CIties of Minneapolis and St. Paul, our high temperature for the day is forecasted to be 90F. We are still in spring but it is starting to feel like summer.

Yesterday my wife and I were planning to walk for about ten miles. Due to the temperature and humidity we decided to cut it short to just five. Today we are just planning on five miles.

Today we will experiment with denoising images. This post is based on the contents of a section in the PluralSight course Building Image Processing Applications Using scikit-image by Janani Ravi. Continue reading “Denoising”

Convex Hull

In this post we will learn a few things about a convex hull.

Before we get into the main subject I would like to chat for a few on a different subject. Currently I continue to read Natural Language Processing by Ekaterina Kockmar. Earlier this morning I was reading the section 3.2.2 Matching forms of the same word: Morphological processing. In the current chapter we are trying to develop an information retrieval system. In a nutshell we have a set of documents of interest and a set of queries. The idea is that given a query we want to return relevant documents in descending order. Sounds very much like what Google search does. Of course the objectives are not to write something to compete with searches on web browsers, but to give us an idea of the general steps needed to perform such a task.

In particular I was reading about Stemming. The idea is that when you have words in a query and wish to map them to words on a document, the forms of a word may be different. A simple word match would not work (e.g., continue and continuation) because for a computer the words are different. If we implement an algorithm using stemming we will be able to match the words.

As I was reading the section an old Spanish saying (https://en.wikipedia.org/wiki/Saying) “The devil knows more through being old than through being a  devil.” If you stop for a few and think about the Spanish saying you should reach the conclusion that it is wrong. In general if you do not reflect on what happened, the good and bad decisions you made, you will not learn and therefore you will not become wiser. For the Spanish saying to be true one must assume that the devil reflects on past events. Since the devil is a personification of evil and not a being like us, the saying is just a saying. Continue reading “Convex Hull”

Split Text

Hope your day is going well. As you might know, I enjoy spending the mornings of Saturdays and Sundays reading and experimenting. To me that is the best way of learning. I use about eight hours per weekend to learn.

Earlier this year I purchased the book Getting Started with Natural Language Processing by Ekaterina Kockmar published by Manning. A few years back I took an on-line course on machine learning which touched on some of the topics also covered by this book. Continue reading “Split Text”