I have just started using AForge.net and would like to know if there is a way to crop an photo containing a car to remove most of the background and leave only the car.
The car photo would be taken using a mobile device, which means that it could be any type of car, colour, background.
I have tried a few things including using blob count to try and detect car shape, however this only detects the wheels.
I need the solution to be c# and be capable of running on mono (xamarin).
Thanks in advance for any assistance.
I have attached a photo, illustrating input and expected image.
the key here is to get the car color by searching for the dominating color in the middle of the picture (assuming that the car body paint will be their) make a copy for processing then try HSL filtering for the found color which will keep only the car color and remove the background
AForge HSL Filtering
after that grayscale > blob search and get the biggest blob rectangle then crop that rectangle from the original image ,, DONE! :)
i would support you with some code if you want to
Related
I've been using the Microsoft OCR API and I'm getting the text from the images but I would like to know if the text is in an specific color or has an specific background color.
For example I have the following image and I would like to know if there is text in red
i.e. image
I thought that this line:
string requestParameters = "language=unk&detectOrientation=true";
would help me to establish the parameters I'd like to recieve from the image so if I wanted to know the color in a line of words. So I added a visual feature like this:
string requestParameters = "visualFeatures=Color,language=unk&detectOrientation=true";
But this did not solve the problem.
Also: Can I mix the uriBase link from the image analysis and the one from the OCR?
There is currently no way to retrieve the color information and OCR results in a single call.
You could try using the bounding boxes returned from OCR to crop the original image, and then send the crop it to the analyze endpoint with visualFeatures=color to get the color information for the detected text.
According to documentation, the possible request parameters of this api are:
language, detectOrientation
and the returned metadata has these entities:
orientation, language, regions, lines, words, boundingBox, text
It will be possible to combine the OCR algorithm with another one of the computer vision algorithms to detect the dominating colors in the text regions that the OCR identified.
The idea is like the inverse of Ishihara test (http://www.colour-blindness.com/colour-blindness-tests/ishihara-colour-test-plates/).
I want to create with GIMP an image that showing something and then if I add a color layer, for exemple green glasses, then I see something new appearing.
I've searching far in Google and so but didn't found anything. Do you know how would I make this?
The Ishihara tests use the principle of combining things color blind persons cannot differentiate.
Coloured glass filters will only remove other colours from what you see. They don't add something. Therefor it is not possible to create a digital image that contains no information unless seen through a colour filter.
The only thing you can do is overlap your "hidden" information with high contrast colour noise.
Like here:
Using the glasses / filter only improves the visibility. The information is not added. It was always there.
I Have an image for a homepage screen. The top part of the image when clicked should lead to the second tab, the left hand side of the image when clicked goes to the third tab and so on.
Basically geotagging an image , so that i can make areas of the image clickable leading to different tabs
I tried implementing using a map chart where i added an image layer, and added this image. Some solutions asked me to add a marker layer with x,y coordinates but I'm unsure on how to proceed on my image
Kindly help with any alternative solution
it sounds like you want an image map. "geo tagging" is when geographic info like latitude and longitude are added to an image.
your best bet is to use a text area with a table filled with image-type action controls. if you have Photoshop, you can use a technique called Image Slicing to prepare your images.
FYI, this is probably not a simple task, especially if you don't know much about HTML. you may want to consider a different navigation scheme.
if you update your question with more detail about the end result you are trying to achieve, maybe someone can share a more fitting solution. http://mywiki.wooledge.org/XyProblem
I'm trying to process an image using ABBYY OCR SDK using the sample code placed in this question but I'm not able get the co-ordinates right for a specific word say "OCR" on the screenshot below.
I want to draw an overlay (yellow rectangle over the word "OCR") and sometimes the rectangle is placed very far away from the actual word.
The XML you get is synthesised according to this schema.
For each recognized character it will contain an instance of charParams element as shown in the answer you linked to. The element will contain the coordinates in page pixels - the same XML also contains a page element:
<page width="..." height="..." resolution="..." originalCoords="...">
where the image width and height are stored. So l and r for each charParams element is in range 0..width-1 of the corresponding page and t and b for each charParams element is in range 0..height-1 of the corresponding page.
Also it's worth mentioning explicitly that all coordinates are in pixels - they are completely resolution-agnostic. This is why whenever you try to highlight anything on an image you have to take zoom into account - the image will likely not be always displayed as is by your device software, but will be downscaled and so you have to map page coordinates onto your zoomed-out image coordinates and highlight appropriately.
Have you checked the DPI of the original image and also check the documentation to make sure the OCR engine is using the same DPI and not returning the image in points or some other measurement system.
It could be that rectangle you are drawing in iOS is not based on pixels but on some other measurement system also.
You just need to work through the process, testing as you go, and work out where the problem is coming from. It is most likely a uniform scaling and the distance from the actual word is proportional to the distance of the word from the top left of the page.
I have an image with Gray Background and 'CUP' in center of it... I want to detect the boundaries of the cup in this image.. After detecting CUP I want to extract the CUP from the image using IMAGEMAGICK.. Note I have many images with different objects (like CUP) in the center and with different background color .. So I am looking for a solution which is applicable to all of them..
Plz comment..
Maybe you could use edge-detection algorithms to isolate the shape of your main object: http://en.wikipedia.org/wiki/Edge_detection
You could also look into the code for the EdgeImage effect in ImageMagick, to see how they do it...