Spam emails are invading users without their consent and filling their mail boxes with email trash. Priceless effort and time of the users and organizations are wasted in handling them. To circumvent anti-spam solutions, many spammers are sending spam email with image-only content. In this paper we propose a spam detection approach in emails with text and image contents. In the first part, a novel framework for extracting intelligent information from emails with image content is presented and a prototype implementation is shown. In the second part, a proposal for multi-layered spam detection algorithm is presented, which enhances existing approaches.