Dipan Mehta
  • Member for 10 years, 3 months
  • Last seen more than a week ago
Identify rectangles of different colors
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2 votes

My suggestion would be in following step. If we know that outer shapes (rectangles) are at regular interval - first we should do some sort of segmentation and/or localization. Remove portions of ...

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Image Shadow Removal Using OpenCV and Python
1 votes

OpenCV has many different Background subtraction models. If you use: cv2.BackgroundSubtractorMOG it will produce foreground without any shadows. If you use: cv2.BackgroundSubtractorMOG2 it will ...

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When does the laugh track kick in?
1 votes

Based on your observation, that spectrum of the signal is sufficiently distinguishable, you can use this as a feature to classify laughter from speech. There are many ways you can look at the ...

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Physical significance of resolution in image processsing
1 votes

So the question really is, "what is a pixel?" A pixel when you access the data/sample of the image is just a number. The capturing device has generated this data represents the visible area on a ...

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How to remove noise from this image without causing the crack to 'shrink'?
1 votes

Your problem is much less that of noise - rather that of clutter. (I may be completely wrong!) What you need to do is isolate the crank portion from everything else. This is essentially segmentation ...

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Texture-like measures for quantifying density of data in binary images
1 votes

One of the most obvious that comes to mind is MPEG-7's Edge Histogram Descriptor. In this, you divide the image into blocks and consider the edge pixels across different angles forming the complete ...

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Embedded Image Processing System that sends photos to Smartphone via Bluetooth
1 votes

This question is more of a hardware setup. Books like Gonzalez will be more relevant when you have images as pixels and process them to transform to more desirable images. Here are the few tips: ...

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What is the best method for merging time lapsed photos? Accessable from python(PIL)
1 votes

Given that The camera never moves and the scene is typcially static. you can apply a very simple technique of Temporal averaging. Assume an image sequence $I_t[x][y]$ where $t$ denotes the time of ...

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Viewpoint dependant deformation of objects in photos
1 votes

Noise, Filtering or any processing? Cropping Color conversions and brightness & contrast changes (inline with illumination but these are linear transformation). smearing. Flip or mirroring (not ...

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How to recognize colors from the color chart?
1 votes

As a first step - i would remove all the clutter with gray and text. Starting from all four sides i will stop till majority of the pixels are of uniquely known "gray" color. This will leave you with ...

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calculating similarity scores between similar and different classes?
1 votes

From a general perspective, you are trying to take SSIM - which is image difference measure. But it is probably a bad idea if you are looking for measure the intraclass, distance. You can look at ...

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Implementing Gaussian random variable by using a uniform random variable
1 votes

There is yet another way! Think of it, what if you wanted some other distribution as opposed to Gaussian? In that case you couldn't really use Central Limit theorem; how do you then solve it? There ...

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Compressing plotted data with variable sample rate?
1 votes

Multi-scale representation is what you are really looking for! Probably one of the best example is the Google Earth (and similar class of) data. If you had only one scale to represent all the data ...

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With respect to the dirac delta function, what does $\delta [x + 2A, y - A]$
1 votes

Adding an illustration here about the functions. First i am showing how a 1D function $f(x) = \delta[x+2A] - \delta[x-A]$ looks like. Now below is the function you mentioned

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Which are the steps to extract contours/shapes from depth videos?
1 votes

As a general approach, your steps are okay. However, your results quite a bit depends on the efficacy of thresholding. However, this can be tricky and results may vary from image to image. I would ...

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Making objects stand out?
1 votes

In case of many imaging - the native contrast can be lower which is why the effective range of brightness (or color) may not be spread fully over the available range of colors. The best (practically ...

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Chopping up and averaging a signal
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1 votes

What you need to achieve is to estimate the typical periodicity of a cycle. What is required is to do harmonic analysis on the same. There are few things - i am making assumption which is critical ...

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What is limit on performance of edge-preserving filters for low signal-to-noise regimes?
0 votes

I am not sure if I am really answering your question correctly - but the point is, any linear filter by all means will do worse to preserve edges while removing noise. However, if only you must have ...

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difference between mean filter and order statistic filter
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I would try to help you more than answering! OK - in simple terms mean filter is the low pass filter applied through averaging of a fixed window convoluted through the image. You can learn from here ...

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Finding filaments in high dimensional space
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You know that in a two dimensional plane two points form a line why a simple equation holds namely - $y = mx + c$ put the other way if dimensions are $x1$ and $x2$ than for a line to exist, the ...

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Extracting top & bottom fields from a YUV 4:2:0 Frame
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Here is a quick reference that shows difference between various chroma formats - 4:2:0, 4:2:2 etc. As can be seen that in both cases, chroma samples are not aligned with the luma samples. Hence, for ...

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Detection of lines in a point cloud
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If you are really concerned about detection lines you can do a simplified approach. Project your point cloud - on to at least two surfaces. Let say project them on XY plane and YZ plane. Basically ...

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Histogram Backprojection in OpenCV?
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0 votes

I cannot say much about how can we increase the accuracy of your blob detection by your current method till i exactly understand method and implementation; However, i feel it is quite certain that ...

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How to find frequency response, stability, and causality of a linear system?
Accepted answer
-3 votes

NOTE: This answer is community wiki: If you feel there is a need for correction -please update the answer right here. 1. Frequency response: For any system - the (discrete time or continuous time) ...

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