using local variables in parallel.foreach

I'm having a really hard time working this out.

The code is supposed to import images from a file dialog. And each image is supposed to be processed and sent to class correct. Processor is a class that detects shapes, so basically I am sending every image and detecting shapes in it(filtered to a certain criteria within the class processor)

newList will get the centers of all the shapes in an image.

I have little knowledge in Parallelism and I can't seem to figure how to work this out. Keep in mind that I do not need to pass anything from one iteration to another. I just want images to be processed and corrected each at a time, with the entire operation divided to threads.

I have every iteration a stand alone one and I need not return anything from one iteration to another.

Currently the problem is that the results returned from class correct are sometimes incorrect. i guess it is because processor and newList must also be local? If yes how can I solve this? If not where have I gone wrong?

Also keep in mind that using a normal foreach works just fine

Here is my code:

Parallel.ForEach(ofd.FileNames,
        (file) =>
        {
            Image exam = Image.FromFile(file);
            var cvImage = new Image<Bgr, byte>((Bitmap)exam);
            processor = processorMain;
            processor.ProcessImage(cvImage);
            List<Point> newList = new List<Point>();
            newList = processor.getList();
            correct.correct(cvImage, answerKey, nOptions);
        });