A form of signal processing where the input is an image. Usually treating the digital image as a two-dimensional signal (or multidimensional). This processing may include image restoration and enhancement (in particular, pattern recognition and projection).

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4 views

Definition of the deterministic annealing method

iI have ran into a shape matching problem and one term which I read about is deterministic annealing. I learnt that it would help to convert discrete problems, e.g. ...
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7 views

Which terms are more standard: precision and recall or correctness and completeness?

I am familiar with terms like precision rate and recall rate from the machine learning literature, but recently I was reviewing a thesis which used the terms correctness and completeness. A quick ...
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2answers
104 views

Comparing two histograms

I would like to know what are the common techniques to compare two histograms? I have histogram of two images and I want to see are they similar or not meaning that is there any correlation between ...
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21 views

How to: cross validation and scaling features using LibSVM – binary classification problem

I have a matrix of samples in rows and features in columns. I want to train this data matrix using LibSVM. How can I normalize or scale my features before running LibSVM? How can I perform cross ...
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81 views

Machine Learning Process for detecting edges of overlapping objects with OpenCV

I'm quite new to machine learning and a bit unsure about the whole process and the interpretation of the results. The Task: I have images with some objects of somewhat the same color and shape which ...
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3answers
27 views

Computing Image Similarity based on Color Distribution

Image Similarity based on Color Palette Distribution I am trying to compute similarity between two images based on their color palette distribution, let's say I have two sets of key value pairs as ...
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9 views

Dimensionality reduction by predominant component analysis

Does any one know the concept of dimensionality reduction by predominant component analysis. ? This is introduced in one of the scientific papers. Please could any one explain how it works. Below ...
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1answer
29 views

What do NORB and CIFAR stand for?

The MNIST dataset is a standard benchmark data set of digit images. MNIST stands for 'Mixed National Institute of Standards and Technology'. The NORB dataset is a commonly used dataset of binocular ...
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1answer
26 views

Image clustering and Dirichlet process

I am reading a paper about the Dirichlet process and image segmentation. (http://dl.acm.org/citation.cfm?id=2404806) How is (3) below derived? Do any articles or posts explain image segmentation and ...
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26 views

Conceptual question on image pattern representation

I have a basic question regarding pattern learning, or pattern representation. Assume I have a complex pattern of this form, could you please provide me with some research directions or concepts that ...
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12 views

Dataset for classifying image data, containing spatial info

I am looking for an object classification data set that meets some criteria: It should already have high-level local features extracted from the images (ideally taken from a grid) (less than 100 ...
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1answer
64 views

Image processing with neural network

I am trying to learn how Neural Network works on image recognition.I am confused that how neural network that how i will give input.My defination is find(track) object in squence of images(particular ...
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1answer
42 views

Help in convolution operation

I am stuck in understanding how the output of convolution operation is obtained. Can somebody please show the steps? The question is an image is processed by applying 3*3 mean filter . What is the ...
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1answer
95 views

What is meant by binary images of handwritten digits?

I can understand what a handwritten digit is, but what is meant by "binary image"? Can someone explain it? I am studying machine learning concepts. In doing so, I've come across many types of inputs. ...
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11 views

Detecting/recognizing landscape and architecture photographs

I have a large set of photos of various kinds, labeled with some tags but the tags cannot really be trusted (e.g., some portraits will have a tag 'portrait' while many won't, likewise for 'landscape', ...
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35 views

Edge Probabilty Using KL-Divergence Code in Python

Its a little complicated question, so please bear with me. I am doing Image Segmentation using Swendsen-Wang method for Image Analysis./ (stat.fsu.edu/~abarbu/papers/jcgs.pdf) I have to calculate ...
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1answer
43 views

Having a Neural Network recreate what it's learned

I've created a basic Neural Network that learns from basic information and can verify whether or not a piece of information matches it's parameters from a match percentage. Conceptually however, I ...
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53 views

Emotion recognition lip zone processing

I want to detect emotions by comparing the cropped lip zone with different templates and output an emotion based on the score. So far I've applied: Normalization Discrete and fast Fourier transform ...
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24 views

Adding errors in quadrature for mean values

I understand that for $ Z = \frac{X}{Y}$, the error in quadrature would be calculated as, $\Delta Z = Z \sqrt{\big( \frac{\Delta X}{X} \big)^2 + \big( \frac{\Delta Y}{Y} \big)^2}$. In my case, X and ...
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3answers
27 views

Ressources for image processing

I want to read, study statistically and modify numerical images. During school i used to work with built in functions in MATLAB. I don't have this possibility anymore. Now i want tout resume my ...
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1answer
39 views

Image vectorization in matlab

I need to convert images into vectors (image vectorization). I have 165 images in total, divided into 15 subjects of 11 images each. Following is code i have written to convert images into vectors. ...
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8 views

How should I choose SNR value that the object is recognisable by the human eye from background noise?

I have some images that are made of an object and some amount of background noise. I have sampled the object for example at 40%. So the object is becoming pixelated, then I inject some amount of noise ...
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43 views

Spatial patterns analysis for images

i have done some research about spatial patterns analysis, using some spatial statistics mesures, all the cours that i found talks about spatial statistic in the context of GIS, in the context of ...
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16 views

Pseudoinverse for time series filtering

Suppose I have a few time series, that are strongly correlated to each other, and I consider this to be noisy data. How do I use the pseudoinverse technique from image processing to filter this data?
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123 views

Normalized cross correlation vs Euclidean distance in template matching

What is the difference between normalized cross-correlation and Euclidean distance in pattern recognition? -- especially if we want to do recognition with template matching. I understand about ...
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1answer
26 views

Distance Transform In Image?

I understand how to compute Distance Transform for BW image In BW image we can calculate the distance of the pixel with non zero pixel value using Eucledian Distance. But I dont undertand how to ...
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10 views

EnergyThe meaning of these term in Image Processing?

Im newbie in Image Processing field, and I got many term that wierd. There are : Moments Local and global characteristic Energy of Image Color Temperature What each of them represent in Image??
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27 views

Detecting noisy patterns in document images

I am looking for features to extract to distinguish between text objects and arbitrary noisy patterns in degraded document images. This is an example of a document with some parts of noise, I have ...
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18 views

Metric to show the overall similarity between two set of points obtained from handwritten word?

In my case, I would like to compare different handwriting to a template handwritten word, and return a single metric to show how closely the input matches the template's shape. The lines are the same ...
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3answers
290 views

statistical method for spatial correlation between images

I am working on analyzing a data set and I was wondering what would be the most statistically valid method of demonstrating that there is a strong spatial correlation between images. I have a data ...
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17 views

Assuming a raster image is a random vector

I am currently working in remote sensing. It is quite common to find that the beginning of the statistical descriptions of techniques used in satellite image processing begin with defining the initial ...
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2answers
285 views

k folds cross validation on a multi-class dataset

Cross validation is one of the most important tools because it gives us an honest assessment of the true accuracy of our system. In other words, the cross-validation process provides a much more ...
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8 views

Three categories of spatial relationships

In this paper, the author claimed there are three categories of spatial relations: Topological relations, which remain invariant under transformations such as translation, scaling and rotating ...
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1answer
246 views

Variational method — implementation of function gradient for image denoise

I am studying Variational Methods and decided to code a simple matlab implementation of the famous image denoise example: $E(u) = \displaystyle\frac{1}{2}\sum_{i=1}^N (u_i - f_i)^2 + \displaystyle ...
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16 views

Heat kernel and laplacian

Is there any relation between heat kernel and Laplacian? I know what each of them is but I am not sure about the relation between them.
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133 views

Training a basic Markov Random Field for classifying pixels in an image

I am attempting to learn how to use Markov Random Fields to segment regions in an image. I do not understand some of the parameters in the MRF or why the expectation maximisation I perform fails to ...
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1answer
51 views

Questions on bag of features methods

I've been studying the bag of features (BoF) methods. I understand the basics and how it's done but I think I still am not good at the details. So here's my understanding of such methods: Suppose you ...
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61 views

Classifier predicts only one class

I was trying myself in kaggle CIFAR competition, I trained lots of classifiers but get the same result/fail (don't know how to treat them), maybe someone could help me figure what i'm doing wrong. ...
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1answer
128 views

Detecting An Image is Bright or Dark? [closed]

I use Java and I have some PNG images. I want to put a caption on my images. However I want that: if an image is bright I want to put a black text on image and if an image is dark I want to put a ...
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3answers
170 views

use of t-test to compare performance of algorithms

I need a little bit guidance. I have to compare the classification performance of multiple algorithms using simple or paired t-test. Let's say I have four datasets (A,B,C) with training and test ...
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134 views

Easy to follow tutorial on using Markov Random Fields for classifying pixels in gray-scale images

I am trying to learn how to use Markov Random Fields for classifying pixels in an image. Could someone please direct me to a simple tutorial demonstrating how this is done. The tutorial needs to ...
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0answers
40 views

Appropriate bounding boxes on images for training data?

This is the first time I'm doing research in computer vision, and I'm going to be using OpenCV's cascaded training, for which I'm preparing positive samples for training data. If anyone's experienced ...
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0answers
37 views

How can i add a weight correctly in a classification algorithm created by me of handwritten sign?

I have 150 images of handwritten signs (like cross, star, circle, tridents), i extracted from them the number of branched point, ent-point and "close" a s feaetures (Having said that features are not ...
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35 views

Optimal to sub-optimal sampling patterns

In the compressed sensing (CS) framework an incoherence property $\mu$ is used to quantify the correlation between a sensing matrix $\Phi$ and a representation matrix $\Psi$. This incoherence ...
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1answer
100 views

How to calculate number of features based on image resolution?

Just covered Andrew Ng's Non-linear Hypothesis of Neural Netowrks, and we had a multiple choice question for determining number of features for an image of resolution 100x100 of grescale intensities. ...
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20 views

Intuitive difference between real and imaginary components of Gabor filter?

Can you explain intuitively what is a difference between real and imaginary components of Gabor Filter? Thanks.
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2answers
137 views

Question about Eigenfaces (PCA applied to facial images)

I've been reading up a bit on eigenfaces. I think I understand the basic concept of it - vectorize a set of facial images then reduce the dimensionality of the images using PCA. What I don't really ...
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1answer
164 views

Distance or Similarity metric for 2D frequency data maps

I want to compare the distance/similarity of 2D flood frequency data maps. The maps are square with YxY grid size and in each cell of the map is stored its flood frequency. For example in a 5x5 grid ...
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1answer
494 views

What does “Mean of each pixel over all images” mean?

I was reading a paper related to Auto encoders for my project work. It is required to input images as vectors to the neural network. I couldn't understand a certain sentence due to lack of knowledge ...
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216 views

Image Clustering using Rapidminer 5

I have a collection of color Images that I want to cluster using Rapidminer 5 and the image processing extension for it. For a start I'd like to cluster them according to the color of the picture but ...