image-segmentation refers to the process of partitioning a digital image into multiple segments, typically to locate objects and boundaries.

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Segmentation of small artifacts - Image Processing

I am working on a task of segmenting small artifacts from a set of images like below: I am looking for a generic approach, but unsure of what to search? I tried looking at density flow analysis, but ...
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22 views

How image masking works?

I am new to image processing and I am interested how image masking can be used to extract a portion of a image. Have a look at this OpenCV tutorial. In the section Application of Mask, they say that ...
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37 views

How to properly detect segments in a LCD segment display

I have been given the task to develop a code which checks if the display of a device is showing information correctly (i.e. any segments are activating when they are not supposed to). To meet this ...
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35 views

How to classify images based on the amount of colors in the image?

I have a problem where all images have the same object; however, these objects can either have number_of_colors<=3 OR number_of_colors>3 and images are not labeled. My attempt starts by ...
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1answer
11 views

Automatic landmarks on images of hands

Problem statement I am starting a project soon where I need to create a method to automatically create landmarks on a set of images of human hands. I do not have a sample image but the images are ...
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20 views

Can Inpainting and Texture Synthesis address same types of image-restoration problems?

Are In-painting and Texture Synthesis used to address different types of problems? For instance, can both methods operate on damaged Old photographs and wooden textures? Are these methods ...
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29 views

What is the difference between MRF and Total variation in noise removal?

I have a general question in image processing. I have a noisy image. I would like to classify the noisy image into some regions. Two famous approaches I can use are: MRF/Gibbs MRF: Model the spatial ...
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1answer
47 views

How to find a noisy line in a picture

Hi I would like to find a line in a noisy image as showed bellow. I tried gabor filter and cany edge detection, but it didn't produce anything usefull. I am looking for lines of specific orientation ...
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26 views

Add padding to object in 4-channel image

I have a 4-channel image (.png, .tif) like this one: I am using OpenCV, and I would like to add padding of type BORDER_REFLECT around the flower. ...
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24 views

Gibbs energy in MRF

I am stucking in Gibbs energy in MRF. Firstly, let us define some definition Let $S = {(i, j)|1 ≤ i ≤ m, 1 ≤ j ≤ n}$ be the set of sites of a rectangular lattice for a 2D image of $m \times n$ ...
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1answer
38 views

Generate a nonuniform illumination (bias field) 2D image

I am creating a nonuniform illumination in MATLAB R2015. The nonuniform illumination (known as bias field) is defined as Nonuniform Illumination (intensity inhomogeneity) which manifests itself as ...
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2answers
52 views

Seeking segmentation methods for this light microscope image

Although I am not new to math or programming, I am a total newbie to image segmentation. I have the following light microscope image and I would like to segment it into cytoplasm (the magenta ...
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1answer
65 views

Deriving the Euler-Lagrange Equations for the Chan-Vese Model

I am reading the Chan-Vese paper "An Active Contour Model without Edges" and IPOL tutorial "Chan-Vese Segmentation" by Pascal Getreuer. The energy for this model is given by: $$ E(\varphi) = {\mu ...
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30 views

Object localization down to the pixel

I am somewhat confused on the terminology used in Computer Vision. Suppose I wanted to detect (localize) an object (say, a human) in an image. However, a box around the human is not sufficient, what I ...
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1answer
44 views

Detecting Central Axis (petiole/rachis) of a Pinnated Palm

I'm new in StackExchange and I'd appreciate some help. I'm working in an algorithm for detecting "aguajes", a particular kind of palm. So far, I got good results using a texture feature extractor and ...
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26 views

image processing: identifying connected regions based on regions' moments

Assume that I have the following grayscale image: and given that I have, for every segment of the different intensities (i.e. 1 black region with intensity 0, 1 gray with intensity 1 and 4 white ...
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1answer
36 views

What is a good way to locate butterfly in an image

I have some images of butterflies. I've downloaded them from here. A sample is below: In each image, the most prominent object is the butterfly (with flowers, leaf etc in background). I usually go ...
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24 views

What techniques exist for segmenting particles given a priori knowledge of the particle size?

I am attempting to segment the following image, which consists of several circular particles that are surrounded by fringes. My goal is to create a mask that is black where a particle is located, and ...
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31 views

Saliency Map based on itti model

i want to create a Saliency Map based on itti model via OpenCV(Python). what i'm doing is that: 1- first i change image color space from RGB to LAB color space 2- for each color channel, i create a ...
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1answer
44 views

What type of images are required for voxel classification?

In an algorithm, voxel classification approach is used to perform image segmentation. The aim was classifying voxels either as ...
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21 views

Character Recognition

Currently I am working on character recognition in a natural image. I know there are many approaches to implement OCR. But in my case the desired font family and size is fixed which make things a ...
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1answer
40 views

How to quantify area of interest in an image?

How to find the percentage of a certain colour in a image accurately? For example I am actually trying to find the percentage of barnacles in this image over the red part of the hull. ...
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22 views

Counting percentage of fouling on a surface

I am completely new to image processing and python. I hope I can find some help here. I am trying out a project on detecting fouling% on a ship hull using raspberry pi. I am trying to learn how this ...
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11 views

How is per-class rate defined?

I've recently read the following For our pixel labeling, consistent with [20], we report the number of pixels correctly classified (per-pixel rate) and the average of per-class rates. The ...
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18 views

what is this mean?“the input image is centered…the mean image…”

in paper-"DenseNet: Implementing Ecient ConvNet Descriptor Pyramids", I can't understand what does this sentence mean- "As a preprocessing step, the input image is centered by subtracting the mean ...
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1answer
41 views

What is the best approach to classify an image containing either text or image?

I am doing a research about image-based User Interface (UI) Analysis, and while UI image-based analysis is not more complicated than normal image analysis, I was able to do a segmentation process to ...
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107 views

OpenCV's BackgroundSubtractorMOG algorithm parameters

Does anyone know what the history and number of Gaussian mixtures do in the Gaussian Mixture-based Background/Foreground Segmentation Algorithm used in OpenCV? I'm trying to optimise a background ...
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2answers
55 views

The model of noise in Image denoising problem

I am studying the image denoising problem. The paper I studied uses Gaussian Noise to model the noise appearing on the image. E.e., If we say $u_g$ is a clean image, then we model the noisy image ...
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2answers
70 views

Magnitude of Sobel filter result, vector or scalar?

I have a question about image gradient magnitude, given an image $I$. The horizontal and vertical derivatives resulting from Sobel filters are defined as: $$K_x= \begin{bmatrix} -1 ...
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2answers
55 views

How to represent a given equation more clear, profressional and short form?

I have a image $U_{m \times n}:\Omega \to \mathbb R^2$, the output $P$ can be define as $$P=\mu J_{m \times n} - U$$ where $\mu = \max \{ u_{ij} : 1 \leq i \leq m, 1 \leq j \leq n\}$, $J_{m \times ...
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1answer
44 views

what is “description vector” in image processing?

When we want to use classifiers like SVM, we first should extract descriptors using algorithms like SIFT. But I have a question which might call a silly one: Let's assume $$ \begin {equation} ...
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2answers
67 views

Segment highly packed nuclei with dotted high intensity signal inside each object

I collected high magnification images on cell nuclei and I need to segment them (red circle in the image). The edges of the nuclei are visible but inside each nuclear object there are bright spots of ...
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3answers
66 views

selecting bricks from image

I have an image of bricks of different sizes. What I want to do is when I click on the corner of the brick it should mark the lines around the brick. Can anyone please help me how can I do that... ...
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12 views

what is near-duplicate detection?

Literately, Near-duplicate detection is for finding very similar image in application where the main goal is finding violated copyright material. but what does this term mean when it comes to image ...
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1answer
45 views

What is “find-grained” image?

What does exactly and precisely the term "fine-grained" mean in image segmentation? For example, undeniably, the picture below is a fine-grained image: But is it correct to call below picture as a ...
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1answer
105 views

How we calculate Precision-Recall Curve?

As far as I know, precision and recall are two single values. How we can plot a curve from these two single values? I think I should calculate a set of values for each of them but how? afterwards, ...
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1answer
35 views

Converting blobs to circles

I have this binary image with some blobs of random sizes. I would like to convert the blobs into circles of uniform diameter. it doesn't really matter what diameter but they need to be circles and ...
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1answer
70 views

Filling hatched areas in image

I'm trying to extract / fill the walls in a floor plan, the walls are filled with a (cross-)hatch pattern at a more or less fixed angle. I've managed to remove most of the "noise" by masking the DFT ...
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Segmenting simple objects without shadows

I am trying to segment very simple objects like boxes and bottles. I am using GrabCut and it works extremely well when there are no shadows or when the shadows are soft - but as soon as there is a ...
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1answer
18 views

Convergence criteria for Active contour model

Currently, active contour convergence is checked visually. So how can we set a convergence criteria? I looked into some unsupervised segmentation method for image segmentation but couldn't got a ...
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1answer
76 views

Identify large solid color areas of image

This is a simple image classification problem. I want to categorize jigsaw puzzle images to difficulty levels (e.g, easy, medium, hard). I want to develop an simple algorithm for this classification, ...
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1answer
74 views

Understand about maximum a posteriori probability (MAP) in classfication task

I have a 2D image defined on a region $\Omega$. Let $I: \Omega \to R$ be a gray image. Assume that the region can be separated into $N$ sub-regions $\Omega_i$ such that $$\forall i,j=1,\ldots ...
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1answer
68 views

How to prove $\int_{\Omega} \sum_{i=1}^{N} f_i(x)dx$ is equivilant with $\sum_{i=1}^{N} \int_{\Omega} f_i(x)u_i(x)dx$

I have a 2D image defined on a region $\Omega$. Assume that the region can be separated into $N$ sub-regions $\Omega_i$ such that $$\forall i,j=1... N:\Omega_i \cap\Omega_j=\emptyset$$ and ...
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0answers
28 views

To estimate the uncertainty of Slicing holes from an image?

I am thinking to estimate the uncertainty of holes photographed from the bottom and top side. The difference of the same hole photographed from two sides is distributed as Gaussian. The length of ...
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0answers
20 views

Multi-object image segmentation methods

I want to survey the state-of-the-art in image segmentation. Is there a paper on how to segment multiple objects in an image? The segmentation papers I read, normally identify one of the many objects ...
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0answers
13 views

SIFT: Finding unstable and stable intervals in interval tree

I try to understand SIFT. I have watched a couple of videos but still cannot catch the point that how we can mark an interval 'unstable'. What is exactly the definition of 'stable'? According to ...
2
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1answer
79 views

SIFT: why it is invariant to affine tranlsation?

I am studying SIFT. I am a little confused in some of Lowe's algorithm. In order to have a descriptor invariant to translations like scaling, we must get rid of the scaling factor in LoG (Laplacian ...
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1answer
43 views

Which anatomical model to use as “ground truth” for validating an MRI segmentation method?

I am research in brain segmentation task that classify a brain in to 3 classes : White Matter, Gray Matter and CSF. To validate my method, I used Dice Coefficient that compare my result and ground ...
2
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1answer
57 views

Image segmentation: Grabcut versus Level-set

Checking the literature about image segmentation, if I am not wrong, there are two main approaches: Variational approach e.g. level-set optimization in Chan-Vese Combinatorial approach e.g. using ...
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14 views

Understand about registration between spatial prior and original image

I am working in level set/active contour method using spatial prior information . The main papers that I am focusing:"Automatic segmentation of neonatal images using convex optimization and coupled ...