object detection of small insects

objectdetect_insects

asked 2017-09-12 01:19:22 -0600

gp77
11 ●1

updated 2017-09-12 02:09:56 -0600

Hi

I am trying to detect objects (many small insects Ex:bugs) in the given image (having various dusts, leaves, etc...) & highlight those detected objects in red boxes. Tried with various methods like 1. dilate 2. Canny 3. findContours 4. matchShapes (using reference insect/bugs images) 5. rectangle (if matchShapes output < threshold)

But results are not impressive.

Original input, expected output images & my code are here, https://www.dropbox.com/sh/c84sc0p524....

Please let me know if anyone achieved this.

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Comments

1

where are the images ? can you try again, to add them ?

also, seeing your code would be very helpful !

berak ( 2017-09-12 01:46:58 -0600 )edit

please put the images HERE, not on dropbox

berak ( 2017-09-12 02:15:05 -0600 )edit

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2

answered 2017-09-12 03:17:32 -0600

VxW
709 ●1 ●9

Hi,

to solve this detection tasks you would need several steps. I'll give you an example on a traditional image pipeline:

apply a Median Filter to remove noise median filtered image
apply a segmentation method e.g. KMeans Clustering result KMeans with 3 classes
apply a blob detection
calculate some features based on the black regions
train a model based on the features e.g. random forest

another possibility would be to try a state-of-the-art approach like a U-Net (Neuronal Network). (if you have enough examples)

Best, Volkmar

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0

answered 2017-09-18 23:52:18 -0600

Ziri
292 ●4 ●7

Create data of positive and negative images (negative images should be noisy background , other blobs.... )
extract features (HOG for example) for both neative and positive images .
Make a classifier using (SVM for example).
Test : detect all blobs and classify.

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