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

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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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18 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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24 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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21 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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18 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
32 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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20 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
36 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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19 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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16 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
25 views

what is the best approach to classify an image contains either text or image?

I'm doing a research about Image-based User Interface Analysis, and while UI image-based analysis is not much complicated as normal image analysis, I was able to do a segmentation process to separate ...
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62 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
42 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
59 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
54 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
32 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
47 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
62 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
40 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
61 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
33 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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42 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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19 views

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
17 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
58 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
50 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... N:\Omega_i ...
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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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27 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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18 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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12 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 ...
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1answer
76 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
40 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 ...
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1answer
45 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 ...
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1answer
131 views

denoise image MATLAB/Octave Gaussian noise

I want to remove a noise for an image using MATLAB, when the observed image is $$f=u+v$$ where $u$ is the restored image (is the image i want recovered) and $v$ is the gaussian noise. To restore ...
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28 views

Understand the assumption of the ideal bright line in this paper

hope I ask my question on the right place. I am a student and my favorit subject is computer vision. I try to understand some apects of the paper "Three-dimensional multi-scale line filter for ...
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3answers
180 views

Segmenting and labeling chessboards through computer vision

With almost no experience/knowledge in computer vision, I am currently trying to segment and label the separate squares on a chessboard (i.e. a1 ... h8). My goal is to use the information to ...
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208 views

Bounding box around text given a single point inside text using opencv

I am trying to figure out a way to detect a "best-fit" bounding box around a text, given a single pixel(or a small set of pixels) inside this text area. Consider the following image: Given the ...
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1answer
43 views

How to detect spheres in SEM (scanning electron microscope) images?

I want to determine the distribution of micro glass spheres in SEM (scanning electron microscope) images, which can be obtained after finding the contours of the little spheres. I think the ...
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1answer
517 views

K-means for 2D point clustering in python

I have a set of points(2D) whose pixels are set and want to perform k-means on these pixels. Is clustering the 2D coordinates the right way ? If so, can that be done using any libraries in python ?
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1answer
173 views

How to learn image processing / computer vision in a practical way?

I am new to the field of image processing / computer vision and I find it very hard to get my hands on the subject. I read a lot about the basics/theory but I feel in no way able to use this knowledge ...
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15 views

character segmentation

I met a problem in my LPR project. After extract the license plate image I need to segment the character in the license plate image. So first I did some morphological operations and convert the gray ...
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55 views

Sobel Filter Operatios

I have an image which has a vertical line which is 2 pixels wide and 4 pixels long and the remaining image is black. Now I want to find the edges in the vertical direction and for that I use the ...
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29 views

How to implement extended structure tensor

I am implementing an extended structure tensor that defined as where (*) is convolution operator; K_sigma is a Gaussian kernel with standard deviation sigma. The subscripts x and y denote the ...
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1answer
41 views

Image region-based representation

I have a homogeneity image that includes two regions $\Omega_1$ and $\Omega_2$. How to represent the image by decomposition of two regions? For example, the famous way is representing by the mean ...
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2answers
46 views

Good inhomogenity measures in images?

Can you advise me on good inhomogenity measurements in an image? I am trying to find the borders where homogenous zones touch inhomogenous ones in a image. I am going to work with sick lung ct ...
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2answers
110 views

Image segmentation algorithm

I wonder if there are algorithms used to segment images efficiently. The ones I tested by now can not segment hair correctly as on this image: I just want to know if someone can give me some ...
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1answer
193 views

3D intensity map for grayscale image

I've got images of blood drops in grayscale and I want to generate 3D data where the first two dimensions represent the area of interest and the 3rd dimension represents the pixel intensity of that ...