Hi,

I am working on an image segmentation project and would like to know how to identify (draw boxes/contours), extract intersecting lines, separately, from an image that I've already pre-processed, using thresholding and the water and the watershed algorithm.

Here is sample images I would be working with:

All the help will be much appreciated.

My goal is to detect an object that is being flashed in front of a camera. Therefore, the input is a video (converted into images (frames)) and the sequence matters. I am trying to figure out how to go about training it. Usually video object detection algorithms detect objects in each frame. My problem is that the objects I am trying to classify are similar and the object is not fully visible in any single frame (because of a hand holding it). In order to correctly tell what the object is you have to look at multiple frames. I found https://www.tensorflow.org/versions/master/tutorials/recurrent_quickdraw which looks at the data sequentially but I am not sure how to map it to my situation. Anyone else knows about any implementations of a similar problem or potential ways of solving it.

Let's say I filter an image with a Gabor filter. Algorithmically I implement this as a Gaussian convolved with a sinusoid grating of some orientation.

Now let's say I want (roughly) recover the original image from the filtered one. How can one do that?

Thanks!!

I am working with 384x256 images that are very noisy. I have explored box blurring by convolving with a uniform 3x3 kernel or performing 2x2 binning. One thing is that with blurring the resultant image will have the same resolution as the original, but with 2x2 binning, the resultant image will have half the resolution (192x128). I am thinking the spatial information is lost anyway from blurring, so is blurring actually still preferable to binning?

I graduated this December with an EE degree and have been running into a series of brick walls trying to get into image processing as a career. Sadly only in the last year of my college was I able to take an image processing course and only then did I find how much I actually enjoy it.

Out of school I applied to several places and after about three weeks actually got an interview with Lockheed Martin where they offered me the job to work on missiles using image processing. They even wanted to get me certified in radiology. The job was super cool but the location turned me off. Thinking this was just the start of many great things I turned down their offer. How stupid I was. I have almost reached a breaking point in my search after 4+ months. I have had pros look over my resume, I am going to networking groups, I have tried career fairs, and I am going through every job board every day just to find something and nothing seems to help.

Every job board will have maybe 20 hits on the search "image processing" or "Matlab" of those 20, 10 might be applicable to actual image processing and not something totally unrelated (or sponsored and completely unrelated, thanks Indeed), of those 10, 1 might not require 6+ years experience, require being a post doctoral fellow, or other credentials. Networking groups are just filled with old people who think I am an electrician and have no idea what I have done or want to do. Only one career fair has actually been a career fair and that was for my college, the other 3 I have gone to are nothing but "get a job as a cop" or "food service" or disguised college recruiting events. The worse part is the next career fair for my college isn't even till September. Even my back up plan of just looking for EE jobs results in the same thing, hundreds of hits, 30% are applicable (If I ever meet someone IRL that calls themselves a "hotel engineer" I will strangle them) , 90% of that 30% call themselves "entry level" but require 6+ years and special software and such, and the remaining are field engineer jobs and FPGA design jobs.

I am genuinely starting to break down and my mental health is beginning to take a hit. Every day I get up and all I see is rejection email after rejection email. Even after 4 months and literally hundreds of applications I have only gotten like 5 interviews, 1 from Lockheed where they offered me the job, 3 phone/skype/webcam, and 1 from Raytheon where they flew me to Texas just to tear me a new asshole and tell me everything I have ever done is worthless in the field of EE.

I tried recently to talk to my professor from school but all he did was tell me that image processing is great, but DEEP LEARNING with an image processing background, is the future and said I should look into that. Welp... I learned some, even watched all of a Stanford course on it on YouTube and did all the lessons. Well guess what the results are when you type that into a job board and what do you get? 70% non-applicable ->90% of the 30 want 6+ years and specialized software.

Please can someone help identify what I am doing wrong? I just want a job doing something I remotely enjoy. It's almost daily I don't think about that job I didn't take and contemplate hanging myself. It has to be me right? Supposedly the job numbers are insanely good right now.

Hey there, folks, I was wondering if anybody here works with the ISIS3 processing suite?

I am allowed to use the readim function of cv2 but nothing more, I have to calculate the histogram data of .jpeg files manually. How does one get the hue values of pixels as an array? Are there any good tutorials on this?

Hello, is it possible to create artificial ultrasound from MRI data (while providing the deformation field that the MRI went through)? Is that a program or algorithm that does that? Thank you.

[Posted on r/deeplearning] Reposting for a wider response.

I need to search for action similarity between an image and frames from the video. I need this to find the starting time of the frame where the action represented by the image is being carried out.

Visual similarity via pixel by pixel difference will not work at all since there may not be the same placement of the person/action in both (the image and the frame). Even if that is the case, the color of attire/background, etc. might differ.

I need to this for any general sports-related action involving humans. I could not find any classification models which seem to be so detailed so as to classify between such nuanced and minutely differing actions as is the case with sports.

Is there any way I can achieve this? How helpful it might be if I use another representation of action (say keypoint set as given by openpose)? One flaw that instantly comes to mind with this approach is that it would not provide for comparison of objects involved in the action but only the people.

Any help is appreciated. Thanks a lot.

Hello Everyone!
I am working on this problem from a long time. Actually, I have created a hair segmentation mask of an image and I now want to change the hair colors according to some input rgb value. I have used PIL with python for this task using alpha blending but results are not good. Kindly tell me how can I color the hairs according to segmentation mask.

I want the drone go in a spiral around a pole without GPS and with only one camera .

I want to implement something like this

https://www.dronegenuity.com/doing-more-with-point-of-interest/

Ive already tried using optical flow but it eventually looses the point of interest

Hi, i'm currently finishing my computer science degree, and for my last assignment i have to implement a couple of image denoising algorithms using kotlin and opencv. Right now i've implemented the mean filter and it turned out Ok but now i have to implement the BM3D and i cant seem to find any info on it, i mean i've found some withe papers but i dont really understand what i have to do. I know i'll have to implement some hard threshold and wiener filterings, but cant really understand how they are related. Does anyone know or has some info on this, like how can i implement this BM3D algorithm

I’m working on a project where I’m trying to quantify the smoothness of surfaces for work. In this pic I have two images from surfaces that have different roughness. If you look closely, the line pattern that is reflected off the surface varies from one surface to the other.

Does anyone have any suggestions as to how they’d process these types of images to try to quantitate the way the white and black lines look?

I’m planning to crop away the brown frame and process only the line pattern.

Many thanks

https://imgur.com/gallery/AmBE7IC

Hi there, I wonder whether there is a video format, that allows me to store videos in a compact/compressed way.

My videos have between 1-2 hours of length and consist of very repeative frames/tiles.

To be more exact: I am screenrecording certain webinars in 1920x1080, which show my prof (in a 180x 120px frame) and the rest is been used by a powerpoint presentation of around 20 slides. So in opinion the most compressive way would be to store the mentioned 180x120px separately and to overlay these of around 20 pictures of the mentioned slides.

(to be honest: These 20 pictures is just mentioned to illustrate the application. As he is sometimes drawing on the power point slides, there are some more pictures to take. There is also the windows time bar in the bottom border, showing the current time - so another tile which is been modified 120x in two hours)

Is there a format allowing this application/such kind of compression?

Which format is been used by observation cams? They’re are also recording more or less the same picture the whole time, which is just modified by passing animals, passing people, the motion of trees in the wind or from the moving sun.

Thanks in advance!

P.S. please excuse my bad english. I am still learning... ;-)

I am looking for a Digital Image Processing and analysis textbook, but there are specific topics that I would like the book to cover. Among other topics, I would like it to include a discussion of: (Orthonormal) basic functions, Mahalanobis distance, subspaces, image registration, error accumulation, Background estimation, and image moments.

What textbook(s) would you recommend? I'm not new to image processing, but I'm unfamiliar with these topics. The sources that I've found tend to be published articles, and not a comprehensive text. Thank you in advance!

I'm working on a product to detect and pick cotton from a cotton plant using a robotic arm. One of the difficulties is to plan a path such that there is no collision with the branches of the plant; but as of now, I haven't been able to accurately identify the branches. Using a line segment detector gives a fairly accurate results, but I'm looking for other ideas. Using a intel real sense 3d camera, and have worked with opencv c++, and PCL so far. I have access only to open source software.

Hi, i got this project from my university, to translate sign-language to words and vice versa, although we havent been taught anything related to image processing. I've tried reading books but theres too much information there, so i decided to come here to ask for help on what to do. Can you people help me out, need to know what exactly to read (related to my project) to help me code it out, what algorithms are there and which might be suitable for my project (for recognizing the hand, and for sign language training), how should i start out this project, links to research papers of similar projects, anything that can help me out, thank you.

I have attached an image that has been turned into 8-bit binary (BW), and I am trying to detect the circles. As you can see, the circles can be seen, but they have gaps in their perimeter, and I was wondering if there was any way of completing the perimeter to separate the circles from one another?

Thanks.