blocks|key|1342509|text|您必须平衡原始处理能力和开发人员时间。Java也变得相当快，如果你提前几天完成，你就有更多的时间来处理数据。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1342510|这完全取决于音量。|1342511|更重要的是，我建议您查找已经存在的库和框架，看看哪种最适合需要完成的工作，并选择库编写的语言，无论是C、Java还是Fortran。|1342512|对于Java，我发现BioJava.org是一个起点。|offset|length|1342513|entityMap|0|LINK|mutability|MUTABLE|url|http://biojava.org/wiki/Main_Page^0|0|0|0|A|B|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|S|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|U|8|@]|9|@$H|V|I|W|1|X]]|A|$]]|$1|J|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|Q]]]]

You have to balance raw processing power and developer time. Java is getting pretty fast too and if you are finished a couple of days early, you have more time to process the data.

It all depends on volume.

More importantly, I suggest you look for the libraries and frameworks which already exist, see which fits closest to what needs to be done, and choose whatever language the library was written be it C, Java or Fortran.

For Java I found <a href="http://biojava.org/wiki/Main_Page" rel="nofollow noreferrer">BioJava.org</a> as a starting point.

blocks|key|2162557|text|Java对于图像处理来说并不是很糟糕。如果您适当地管理源对象，您将有机会从中获得合理的性能。我喜欢Java中与映像相关的一些事情：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2162558|JAMA高级成像|2162559|2D图形实用程序(查看|unordered-list-item|2162560|
|2162561|等|2162562|2162563|将其与配合使用|2162564|2162565|entityMap^0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|S|8|@]|9|@]|A|$]]|$1|G|3|H|5|6|7|T|8|@]|9|@]|A|$]]|$1|I|3|J|5|F|7|U|8|@]|9|@]|A|$]]|$1|K|3|H|5|6|7|V|8|@]|9|@]|A|$]]|$1|L|3|M|5|F|7|W|8|@]|9|@]|A|$]]|$1|N|3|-4|5|6|7|X|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]]|P|$]]

Java isn't TOOO bad for image processing. If you manage your source objects appropriately, you ll have a chance at getting reasonable performance out of it. Some of the things I like with Java that relates to imaging:

<ol>
<li>Java Advanced Imaging</li>
<li>2D Graphics utilities (take a look at BufferedImages)</li>
<li>ImageJ, etc </li>
<li>Get it to work with JAMA</li>
</ol>

blocks|key|3569334|text|问问你在这个领域工作的人(比如，生物信息学)|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3569335|对于太阳图像，大部分工作是用IDL、Fortran、Matlab、Python、C或Perl+(PDL)完成的。(大致按此顺序...IDL绝对是第一个，因为大多数仪器校准软件都是用IDL编写的)|3569336|正因为如此，我们这个领域已经有了很多用这些语言编写的工具包。通常，对于大型参考数据集，PI会发布一些软件包，作为如何解释数据格式/与数据格式交互的示例。我只能假设生物信息学也是类似的。|3569337|如果你最终走了一条与该领域其他人不同的路线，你将很难与其他科学家合作，因为你不能那么容易地共享代码。|3569338|注意--在我们的领域中已经发布了许多用Java编写的可视化工具，但它们假设图像已经由其他一些过程准备好了。|3569339|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|M|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|N|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|O|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|P|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|K|$]]

Ask someone in the field you're working in (ie, bioinformatics)

For solar images, the majority of the work is done in IDL, Fortran, Matlab, Python, C or Perl (PDL). (Roughly in that order ... IDL is definitely first, as the majority of the instrument calibration software is written in IDL)

Because of this, there's a lot of toolkits already written in those languages for our field. Frequently, with large reference data sets, the PI releases some software package as an example of how to interpret / interact with the data format. I can only assume that Bioinformatics would be similar.

If you end up going a different route than the rest of the field, you're going to have a much harder time working with other scientists as you can't share code as easily.

Note -- There are a number of the visualization tools that have been released in our field that were written in Java, but they assume that the images have already been prepped by some other process.

blocks|key|1346853|text|最流行的计算机视觉(图像处理，图像分析)库是OpenCV，它是用C%2B%2B编写的，但也可以与Python和Java+(官方OpenCV4Android和非官方JavaCV)一起使用。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1346854|有一些生物信息学应用程序基本上是图像处理，所以OpenCV会处理这一点。但也有一些不是，例如，它们是基于机器学习的，所以如果你需要与图像/视频相关的其他东西，你将需要另一个面向生物信息学的库。Opencv也有一个机器学习模块，但它更专注于计算机视觉。|1346855|关于C语言与Java语言，大多数已经在其他答案中说过了。我应该补充说，这些库现在是基于C%2B%2B的，而不是普通的C。如果你的应用程序有实时处理需求，C%2B%2B可能会更好，如果没有，Java就足够了，因为它更友好。|1346856|entityMap|0|LINK|mutability|MUTABLE|url|http://opencv.org/|1|2|http://code.google.com/p/javacv/^0|M|6|0|1N|E|1|25|6|2|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@$A|T|B|U|1|V]|$A|W|B|X|1|Y]|$A|Z|B|10|1|11]]|C|$]]|$1|D|3|E|5|6|7|12|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|13|8|@]|9|@]|C|$]]|$1|H|3|-4|5|6|7|14|8|@]|9|@]|C|$]]]|I|$J|$5|K|L|M|C|$N|O]]|P|$5|K|L|M|C|$N|O]]|Q|$5|K|L|M|C|$N|R]]]]

The most popular computer vision (image processing, image analysis) library is <a href="http://opencv.org" rel="nofollow">OpenCV</a> which is written in C++, but can also be used with Python, and Java (official <a href="http://opencv.org" rel="nofollow">OpenCV4Android</a> and non-official <a href="http://code.google.com/p/javacv/" rel="nofollow">JavaCV</a>).

There are Bioinformatic applications that are basically image processing, so OpenCV will take care of that. But there are also some which are not, they are, for example, based on Machine Learning, so if you need something other than image/video related you will need another Bioinformatic oriented library. Opencv also has a machine learning module but it is more focused for computer vision.

About the languages C vs Java, most has been said in the other answers. I should add that these libraries are now C++ based and not plain C. If your applications have real-time processing needs, C++ will probably be better for that, if not, Java will be more than enough as it is more friendly.

blocks|key|599750|text|理想情况下，您应该使用Java或(甚至更好)+Python之类的东西来处理“高级”内容，并使用C编译需要大量处理能力的例程(例如使用Cython等)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|599751|有一些针对Python的科学库(SciPy和NumPy)，它们是一个很好的开始，尽管将Python和C结合起来还不是很简单(您需要做一些调整)。|599752|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

Ideally, you would use something like Java or (even better) Python for "high-level" stuff, and compile in C the routines that require a lot of processing power (for instance using Cython, etc).

Some scientific libraries exist for Python (SciPy and NumPy), and they are a good start, although it isn't yet straightforward to combine Python and C (you need to tweak things a bit).

blocks|key|3569439|text|我的两便士:与C/C%2B%2B或C#不同，java不允许使用指针。因此，如果你打算直接操作像素，即编写自己的图像处理函数，那么它们将比C%2B%2B中的等效函数慢得多。另一方面，与java相比，C%2B%2B完全是一种语言的噩梦。用c%2B%2B编写同等数量的代码至少需要两倍的时间。因此，随着工作效率的提高，您可能买得起一台计算机，以弥补运行时间的差异;-)|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3569440|我知道其他语言不适合你，但我个人强烈推荐用于图像处理或计算机视觉的c#：它允许指针，因此c#中的IP函数只有C%2B%2B的一半(我认为这是一个可以接受的折衷)，而且它与原生C%2B%2B的完美集成以及一个很好的opencv包装库。|3569441|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

just my two pence worth: java doesn't allow the use of pointers as opposed to C/C++ or C#. So if you are going to manipulate pixels directly, i.e. write your own image processing functions then they will be much slower than the equivalent in C++. On the otherhand C++ is a total nightmare of a language compared to java. it will take you at least twice as long to write the equivalent bit of code in c++. so with all the productivity gain you can probably afford to buy a computer that makes up for the difference in runtime ;-)

i know other languages aren't an option for you, but personally i can highly recommend c# for image processing or computer vision: it allows pointers and hence IP functions in c# are only half as slow as in C++ (an acceptable trade-off i think) and it has excellent integration with native C++ and a good wrapper library for opencv.

blocks|key|2162834|text|免责声明:我为TunaCode工作。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2162835|如果你必须在不同的语言之间做出选择才能开始使用图像处理，我建议你从C%2B%2B开始。如果你想对单个像素进行操作，你可以访问原始指针，这是必须的。|2162836|接下来，你对哪种成像感兴趣？只是为了有趣的图像过滤器或一些繁重的事情，如运动估计，跟踪和检测等？为此，我建议你看看，因为你迟早会需要成像功能的性能，这就是CUVI提供的功能。如果它能满足您的需要，您可以将其作为独立软件使用，也可以将其与其他库(如英特尔IPP、ITK、OpenCV等)插入。|2162837|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|H|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|I|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|J|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|G|$]]

Disclaimer: I work for TunaCode.

If you have to make a choice between different languages to get started on Image Processing, I would recommend to start with C++. You can raw pointer access which is a must if you want to operate on individual pixels.

Next, what kind of Imaging are you interested in? Just for fun image filters or some heavy stuff like motion estimation, tracking and detection etc? For that I would recommend you take a look at <a href="http://www.cuvilib.com" rel="nofollow">CUVILib</a> since sooner than later, you will need performance on Imaging functionality and that's what CUVI provides. You can use it as standalone if it serves your purposes or you can plug it with other libraries like Intel IPP, ITK, OpenCV etc.

I am looking in to learning a programming language (take a course) for use in image analysis and processing. Possibly Bioinformatics too. Which language should I go for? C or Java? Other languages are not an option for me. Also please explain why either of the languages is a better option for my application.

Java or C for image processing

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我正在学习一门用于图像分析和处理的编程语言(参加一门课程)。也可能是生物信息学。我应该选择哪种语言？C语言还是Java语言？其他语言对我来说不是一个选择。另外，请解释为什么这两种语言中的任何一种对我的应用程序都是更好的选择。

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