近年來，由於數位相機與智慧型手機相機的普及，使得拍照越來越簡單，照片的數量也大量的增加。而社交網路的盛行，讓使用者們大量上傳照片到社交網路上分享生活。照片是拍照者用來記錄當下看到感動的事物，照片可以傳遞拍照者的情感，但是照片通常還必須透過照片構圖的畫面規劃來傳遞所需要表達的特定資訊，照片所要強調的主體位置會影像一張照片給人的感覺，這就是照片構圖的意義所在，所以照片構圖為拍照的一個重要元素。儘管照片構圖在專業的、優秀的攝影作品中為一個重要因素，目前有關照片構圖分類的研究並未有深入的研究。
在本篇論文中，我們運用了基於隨機森林的分類系統來辨認所要處理的照片構圖，在將構圖分類之前，我們使用不同的方法將可以影響照片構圖分類的特徵擷取出來，例如霍夫轉換中線的偵測、影像中顯著區域偵測等。萃取出來的特徵被當成輸入的參數來進行下一步的分類。
實驗的部份針對不同的攝影構圖類型進行分析。本文提出的方法可以有效地對影像的照片構圖類型進行分類，召回率達86.1%以及精確率達86.2%。

Nowadays, due to the popularity of digital camera and smart phone camera, it’s getting easier to take photos, and the number of photos are explosively increasing. With the widespread of social network, it lets users upload enormous photos onto the platforms to share their life. Photos are to record things that touch people instantly, and deliver the emotion of people who take photos. But in most cases, images must tell some specific information through some terms of image arrangement. This is the main idea of photographic composition. Despite its important factor in photography, there still remains a lot of space to improve in this research.
In this paper, we will propose a system based on random forest that can recognize what kinds of composition is the photography. Before categorizing composition, we extract the features which have a big impact on the composition of photo in many different ways. For example, using hough transform to detect lines and finding saliency region in an image. Then extracting several features as inputs to encounter the next step of categorizing.
In the experiment stage, we analyze different kinds of composition. The method we propose can accurately categorize every kind of photographic compositions and the recall is 86.1% and the precision is 86.2%.

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