Issue in recognising multiple objects in an Image

3 views (last 30 days)
I have images of Apples as well as of Oranges, which I am using as training images. The test image is an image consisting of both apple and orange. I am using GIST descriptor for feature extraction. When I train the classifier using extracted features, it gives an output as apple or orange for the test image. I have a query, as how can I make classifier recognise both of them in the test image. I am using KNN classifier
william  pyae
william pyae on 26 May 2018
Hi Rohan, I'm doing a similar project as yours. Could you able to post all your matlab code in the file exchange? I would like to take references from your project. Thank you so much.

Sign in to comment.

Accepted Answer

Image Analyst
Image Analyst on 25 Jan 2017
Why not simply look at the color? Just convert to HSV color space, mask out the background and look at the amount of orange in the image. If there's more orange than non-orange, it's an orange.

Sign in to comment.

More Answers (1)

Takuji Fukumoto
Takuji Fukumoto on 25 Jan 2017
I think you should cut block from a whole image and slide it for recognition if you want to use that classification.
Rohan Gupta
Rohan Gupta on 27 Jan 2017
I am not suppose to use RCNN or CNN for this application. Is there any other way. By the way thank you for your valuable inputs. It would be really helpful, if you could help me out further.
The single test image will have 3 or 4 fruits, How can I detect all of them?
Features of each fruits can be extracted using color as it's feature (during training), but when I train KNN classifier and give it a test image, it will give only one output (i.e orange or apple). It won't tell me the names of all the fruits present in the image.

Sign in to comment.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by