Improve flexibility of image diff functionality

Add information about the amount of incorrectness in an image, perhaps using color distances.

Consider adding thresholding for "almost-equal" color values that can be passed to the diff functions. This would work well for color diffs but not for location diffs.

I like [mshafae's] idea of looking at the count of incorrect pixels to see how close student work was to some ideal. I think this would work better in cases where error doesn't compound. In recursive fractal tree drawing, for example, more pixels are drawn many layers deep into the recursion which gives the error more time to add up. This gives me some more ideas to add to that automated diff tool I created which can already highlight diffs in red but doesn't provide any other helpful output.

この issue には、ファイル、テスト、エントリーポイントが記載されていません。まず画像差分関数を見つけ、色と位置の差異がどのように表現されているかを確認してください。選択したスコープを実装してテストする前に、望ましい不正確さの尺度としきい値の動作を定義してください。

索引モデルが issue の本文から書いたものです。