需要一个matlab编码 [英] needed a matlab coding

问题描述

先生，我需要一个Matlab编码如何通过matalb中的图像处理来识别植物营养缺乏症".

sir, I need a matlab coding for "How to identify plant nutrient deficiency by image processing in matalb"

推荐答案

然后将您的问题输入Google；该站点不提供订购代码.

Then type your question into Google; this site does not provide code to order.

您好，

您没有提供太多有关任务的信息.

这是有关如何解决您所描述内容的常规清单.

Hi,

You did not give much information about your task.

Here is a general checklist on how to solve what you describe.

1. 获取尽可能多的健康植物和营养不足植物的照片.如果您自己制作这些图像，请设置一个可以改善图像质量的环境(例如，使用无日光和稳定光源的房间，甚至是背景等等).这将在以后开发识别算法的过程中为您提供帮助.
2. 对图像进行分类，并找到可用于构建特征组的特定特征，并对颜色进行一些统计研究.病叶上的颜色范围是什么，并且它们总是来自相同的颜色间隔.您可以在健康的植物上找到哪些绿色色调?
3. 开发滤镜以获取不同的图像片段.我猜您将大致得到三种细分类型(背景，叶子的绿色部分，叶子的棕色部分).滤色将是我首先要尝试的步骤，但是此步骤很大程度上取决于输入数据的外观以及所选择的功能.
4. 通常，主要部分是在获得图像后才开始的段.基本上，现在您进行计算，运行更多的算法，最后将结果报告返回给程序用户.

1. Get as many pictures as you can of healthy plants and plants with nutrition deficits. If you make these images yourself setup an environment that improves the quality of your images (e.g. use a room w/o daylight and stable light sources, even background.. things like that). This will help you later in the process of developing your recognition algorithm.
2. Classify your images and find specific characteristics that you can use to build feature groups, do some statistical research maybe on the colors. What range of colors are on ill leafs and are they always from the same interval of colors. What greens tones can you find on healthy plants?
3. Develop filters to get the different image segments. I guess you will roughly get three segments types in your case (background, green part of leafs, brown parts of leafs). Color filtering would be the first thing I would try here, but this step depends heavily on how your input data exactly looks like and what features you chose.
4. Often the main parts just begins when you have got the image segments. Basically, now, you do calculation, run some more algorithms and finally you present a report with results back to the user of your program.

希望对您有所帮助，但是请注意，这些只是非常通用的步骤.您需要至少提供一些图像作为输入，以准确回答此类问题.

干杯！

I hope this helps, but please be aware that these are only very general steps. You need to provide at least some images that you use as input for a precise answer to this kind of question.

Cheers!

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