Issue in recognising multiple objects in an Image
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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
Image Analyst 2017 年 1 月 25 日
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.
その他の回答 (1 件)
Takuji Fukumoto 2017 年 1 月 25 日
Why don't you use R-CNN? http://jp.mathworks.com/help/vision/ref/trainrcnnobjectdetector.html
I think you should cut block from a whole image and slide it for recognition if you want to use that classification.