Not sure you will be able to do this that easily, but I cannot figure
better ways to try.

I'll be very interested if you're able to generate good results!

*Ethan Carrés Hidalgo*

<http://es.linkedin.com/in/eduardethancarres>


2017-11-13 8:18 GMT+01:00 Dzung Nguyen <dzungn...@gmail.com>:

> How about labeling manually a dataset for training, then let machine
> learning do the rest (of course local binary pattern could be used as
> feature)?
>
> By labeling, I mean for each image draw the region where there are grass,
> and the region where there are cover.
>
> On Mon, Nov 6, 2017 at 4:15 AM, Zhenjiang Zhou <zhenjiang.z...@slu.se>
> wrote:
>
>> Hi there,
>>
>> I am new python user, trying to use python to solve a question in my
>> research, which is simple but not easy question:
>>
>>
>>
>> The attached image is mixture of two plants: grass and clover, grass is
>> the one with long leaf, clover is the one with round leaf.
>>
>> So they have different shape, but very similar color
>>
>>
>>
>> So the question is how to use python to estimate the percentage of each
>> plant in the whole image (%)
>>
>>
>>
>> From the literature, local binary pattern might be used, but I am not so
>> sure it can do good job here.
>>
>> Any help is highly appreciated, I can say that this question is a big
>> issue in my research area.
>>
>> Looking forwards to your reply.
>>
>>
>>
>> Zhenjiang Zhou
>>
>> Postdoc
>>
>> *Swedish University of Agricultural Sciences*
>>
>> Department of Agricultural Research for Northern Sweden
>> 901 83 UMEÅ
>> Sweden
>> Visiting address: Skogsmarksgränd
>> Phone:+46 90-786 8731 <+46%2090%20786%2087%2031>
>>
>> *zhenjiang.z...@slu.se <zhenjiang.z...@slu.se> *[image:
>> slu-logo-rgb-web-medium]
>>
>>
>>
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>>
>
>
> --
> *Dzung Nguyen*
>
> PhD Student
> Electrical Engineering and Computer Science,
> Northwestern University, IL, USA
> http://users.eecs.northwestern.edu/~dtn419/
>
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>
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