Charizard Explains How To Describe and Quantify an Image Using Feature Vectors

If you haven’t noticed, the term “feature vector” is used quite often in this blog. And while we’ve seen it a lot, I wanted to dedicate an entire post to defining what exactly a feature vector is. What is an Image Feature Vector? Image Feature Vector: An abstraction of an image used to characterize and […]

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I’m Writing a Book: “Practical Python and OpenCV: An Introductory, Example Driven Guide to Image Processing and Computer Vision”

I’ve been throwing around the idea of writing a book for the past few months, but I wasn’t sure on what the exact focus was going to be. I’ve given it a ton of thought, worked out the specifics, and spoke with a lot of developers, programmers, and researchers like yourselves. All of this work […]

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Building an Image Search Engine: Indexing Your Dataset (Step 2 of 4)

Last Wednesday’s blog post reviewed the first step of building an image search engine: Defining Your Image Descriptor. We then examined the three aspects of an image that can be easily described: Color: Image descriptors that characterize the color of an image seek to model the distribution of the pixel intensities in each channel of the […]

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Clever Girl: A Guide to Utilizing Color Histograms for Computer Vision and Image Search Engines

It’s…it’s a histogram. – Dr. Grant Okay. So maybe that isn’t the exact quote. But I think Dr. Grant would have been equally thrilled had he known the power of color histograms. And more importantly, when the power goes out, the histograms don’t eat the tourists. So, what exactly is a histogram? A histogram represents the distribution […]

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