In this paper, we propose a retrieval method using textual information retrieval techniques, such as vector space model, for images. Recently, many image retrieval systems are proposed. However, these systems are mainly based on pattern recognition techniques. Therefore, the features of images are also based on these recognition techniques, such as color histogram, and shape of the object in images. Generally, these systems do not consider weight of features, which means how important these features are, which are generally used in textual information retrieval systems. In this paper, we propose a method considering weight, such as TFIDF, to identify the importance degree of features. Using our proposed method, the system can retrieve intuitively similar retrieval target images to user's query images.