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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19 views

C++ Pattern Matching with FFT cross-correlation (Images) [on hold]

Hello everyone I am trying to implement patter matching with FFT (cross-correlation) (I am using this https://www.cs.uaf.edu/2007/spring/cs481/lecture/03_29_fft_image.html as reference) The idea of my ...
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7 views

Question on Texture similarity measures

I was wondering whether there is a similarity measure between a discrete image or texture image and a continuous image? I have two images one is discrete (it can be a texture also) and the other is ...
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3answers
57 views

Use Edge detection in Image classification

I am having five types of objects (flower, building, face, pair of shoes and a car) in my object recognition and i need to classify these. Identifying through edges in this type of data set seems to ...
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3answers
47 views

Basic ANN questions

So I've just recently gotten into artificial neural networks, and I have a couple of questions that I can't seem to find addressed anywhere. Firstly, this one is more specific to image recognition, ...
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1answer
28 views

How can I do a one vs all classification (binary classifier) with a neural network

I have a set of images that belong to a particular class. Then, I have another set of images that do not contain any image of the above particular class. So, effectively I have two sets of images ...
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10 views

Choosing keypoints for a training set and their prospective number

I am building a software to classify cells from images taken by a microscope. I have a dataset of images of cells to use as training dataset - I have extracted Keypoints from each image using ORB - ...
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12 views

Normalizing features extracted from image for training a model

I am trying to build a software to classify cells from images taken by a microscope: First, i have a dataset of images of cells to use as training dataset - I have normalized the images and extracted ...
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0answers
7 views

How to perform a filtering to get the low, middle and high frequency components of an image?

I am currently looking into some image processing project and just wondering how to obtain the low, middle and high frequency components of an image? For example, as this picture showed (I got it ...
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1answer
44 views

How is convolutional network used to locate logos in images?

I have a large set of logos (think of it as kind of logos of automobile companies). Now, I want to train a convolutional network to locate the logo in a given image. Are there any papers that talk ...
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9 views

Texture Synthesis

I'm looking to synthesise some textures that look like natural ceramic tiles in Matlab. This isn't something I've tried before so I was wondering what the best techniques to use would be or if there's ...
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1answer
25 views

Building an image classifier( binary) using Convolution network network

I have a dataset of images of birds and want to build a CNN classifier that outputs the probability that the fed image(test) is a bird, So that I can accept the image to be a bird beyond a certain ...
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1answer
62 views

ImageNet: what is top-1 and top-5 error rate?

In ImageNet classification papers top-1 and top-5 error rates are important units for measuring the success of some solutions, but what are those error rates? In ImageNet Classification with Deep ...
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1answer
37 views

Classifier for different classes of birds

Is it possible to distinguish between the different classes of birds? I do not aim to have a very specific classifier, but a classifier that is atleast able to distinguish between a parrot and an ...
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1answer
21 views

Clustering matrices with “2d interpretation”

I am not sure if I can formulate this such that it is clear. :) I have around 700 80x80 matrices, where each matrix shows some weather event (a matrix has continuous entries from 0 to 60). Now I ...
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0answers
12 views

Suggestion about: Image based position estimation with cross correlation

I have a image processing project.the process steps are: Take two image from google maps with longitude and latitude Calculate distance between two images from longitude and latitude with haversine ...
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1answer
56 views

Features for Object Detection

I want to build a classifier for detecting Airplanes in images. It is important to note that size and shape of the Airplane does not matter in the image. So for training I might simply use the images ...
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1answer
41 views

How can we learn to classify images that are airplanes ?

The training set is a set of images of the airplanes. Task is : Given an image classify it as an airplane or not. Is it feasible ?
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20 views

How to train a Gaussian Mixture Model using Testing Data

My work is to extract HOG features from Arabic Line images and than do classification using Gaussian mixture model to have a look at the performance. My question is after extracting the features how ...
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1answer
54 views

Understanding neural networks and classes

I want to know if this argumentation is valid or not of my algorithm. I'm trying to implement a CBIR (Content-Based Image Retrieval) where I've used the basics on CBIRs (colour, texture, shape, ...
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0answers
3 views

what is in intuitive explanation of local derivative pattern (LDP)?

Zhang et al. proposed the LDPs for face recognition . They considered the LBP as the nondirectional first-order local pattern operator and extended it to higher orders ( th-order) called the LDP. ...
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2answers
71 views

Simple way for histograms Clustering

I'm trying to cluster set of histograms. The histograms represent the frequencies of the distribution for a numbers from 1 to 5. The following figure shows two samples of my data. I have 10,000 ...
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1answer
48 views

What is the difference between simple histogram and histogram LBP?

What is the difference between a simple histogram and a histogram LBP (local binary pattern)? Can someone provide the intuition behind histogram LBP?
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0answers
9 views

what is the drawback of DLBP(Dominant local binary pattern)?

Although the DLBP features encapsulate more textural information than the conventional LBP features, they lack the consideration of distant pixel interactions. The reason is that the binary patterns ...
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1answer
36 views

what is in intuitive explanation of the histogram equalization invariant feature?

Ojala et al, proposed the uniformed local binary patterns(LBP) approach to extracting rotation and histogram equalization invariant features. what is histogram equalization invariant feature? i ...
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0answers
58 views

How to plot mean plus/minus standard deviation for histograms?

I have a set of grayscale images, where the pixels may have values in the range $[0, 255]$. From each image, I calculate a histogram, which shows how many pixels have the value $0$, $1$, $2$, and so ...
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25 views

How can I quantify the symmetry / asymmetry of this kind of data?

Let's say I have 30 of those pictures http://imgur.com/CaQaPtF I have the numbers (amounts of dots on both sides, e.g. 17 and 19) at hand, alternatively I could also do something with the distances ...
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1answer
68 views

How to use images as input in machine learning?

There are different machine learning algorithms (neural networks, decision trees, support vector machines and so on). Usually we assume that there is a mapping from vectors to nominal or numeric ...
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26 views

What is the difference between LBP and DLBP?

if the Local binary pattern(LBP) is efficient approach why came Dominant local binary pattern(DLBP).i need your help
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101 views

Obtaining a HOG feature vector for implementation in SVM in Python

I am new to sci-kit learn. I have viewed the online tutorials but they all seem to leverage existing data (e.g., digits, iris, etc). I need the information on how to process images so that they can ...
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0answers
12 views

Feature Extraction for landscape images

I work on a landscape-image database (forests, beaches, landmarks, cities etc.) and I'm trying to find the similarity between them, I don't have labels or any specific classes, I just want to find ...
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1answer
66 views

Scale-invariant feature transform explanation

How do I explain the scale-invariant feature transform (SIFT) to a layman?
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0answers
86 views

What are the best packages for Image Processing in R? [closed]

I just have started working on an image processing and classification problem. I am familiar with both R and Python. But I am not much experienced in scikit-learn and scikit-image libraries in Python. ...
2
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1answer
90 views

Simple way for histograms classification

I'm trying to classify a histogram. I have 4 classes and I generate 4 histograms (h1, h2, h3 and h4) for each class. Each histogram contains 10 bins (attributes describing an object) on the x-axis and ...
0
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0answers
26 views

Appending additional data to learnt autoencoder features

My task is to perform image segmentation / full scene image parsing. I am working on an outdoor dataset which was taken under strict spatial constraints. The images contain fruit on trees and the ...
2
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0answers
39 views

How to remove horizontal bar in Hindi word Matlab

I wish to remove the horizontal bar (Shirorekha) from the word to get characters from the following image, for character recognition. Any ideas as to how can I do that. I tried to use Hough ...
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2answers
105 views

Machine Learning for Image Processing book recommendation

I'm searching a good (and compact) book about multivariate pattern analysis in images with machine learning techniques. I took a machine learning course and used for it the Bishop book but I found it ...
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17 views

Trying to find a way to compare the “true” distribution of text in real life to a collection of computer generated text

I have a program that creates images of words for the purpose of training neural architectures for classifying text in image processing. The images are rendered with a number of different factors ...
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30 views

Are there shape-matching scores that take into account multiple scales simultaneously?

Say you are determining how well your model of an object matches an image. To score this match, we can use e.g., the cross-correlation coefficient (CCC), giving an overall shape match. This works for ...
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2answers
39 views

Sampling Methods for Review of Many Hours of Surveillance Video Footage?

I'm curious is anyone has experience with or can point me to some resources for sampling methodology for reviewing surveillance video footage. For example, say we have 6480 hours of video footage (3 ...
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0answers
19 views

normalization of data points in order to make them adhere to a specified probability distribution (e.g. Normal)

I am doing some preprocessing for a computer vision task. My target is to select a few elements (pixels) containing highest scores according to a metric that I am developing. The values of this metric ...
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0answers
15 views

Need to order a set of colors to build a feature vector

I am working on Computer Vision task of object classification with python and OpenCV. Currently I am extracting some characteristic colors of an image using K-means clustering on all the pixel to ...
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0answers
43 views

How to interpret FPPI

I am struggling when trying to interpret this graph (it represents pedestrians detection accuracy in images for several algorithms) The horizontal axis represents the False Positives detected Per ...
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0answers
30 views

Collection of features that correlated with strength and elongation of nonwoven fibers

I'm working on a regression problem which estimates strength and elongation of a non woven fibers by using some features collected from processed images of the fibers. For this study I've collected 50 ...
2
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2answers
69 views

Classification Algorithms

Rather than due a google search and hope to find "the best" or an exhaustive list of classification algorithms I thought it might be easier to pose my questions here, and then get advice from you ...
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0answers
25 views

Algorithms for invariant image recognition

I am interested in the current state of affairs when it comes to image recognition. I am particularly interested in algorithms that can handle a high degree of invariance. Except for Artificial ...
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0answers
17 views

Image analysis classification where images are of different dimensions, resolutions, etc

I am working on an image classification problem where I have black and white images of all different dimensions and resolutions. The images belong to 1 of 5 groups including an unknown category. These ...
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1answer
49 views

Probability of a model given an image

I would like to write the likelihood function for an image with respect to theoretically predicted values. Assuming uniform Gaussian noise, the pixels are statistically independent, and we can write a ...
2
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1answer
278 views

Eigenfaces in R: How to reconstruct original features from principal components? [duplicate]

I've performed PCA on face images dataset and I'm not sure how can I use the most informative principal components to show the "reduced" image. The original image is 96*96 pixels (96*96 = 9216) and I ...
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0answers
160 views

Naive Bayes Nearest Neighbor (NBNN) implementation problems in MATLAB

I'm currently trying to classify the CIFAR-10 image dataset. I cam across a number of papers praising the the results from a non-parametric approach called Naive Bayes Nearest Neighbors. It uses SIFT ...
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16 views

Find input image (ID,passport) in imagesDB based on similarity

I would like to decide if image is exists on DB images (pictures of IDs,passport,Stu. card,etc) I thought of KNN alghorithem that will plot the K closest images. Options for distance metric: 1) sum ...