Changes of the blood vessels and collagen are associated with the development of abnormal cervical cells. Recently, optical coherence tomography and Mueller polarization images were used to provide information regarding the presence of collagen fibers in the cervical tissue. However, most of these methods need a lot of time for image recording and are expensive. In addition, the general survey on the absorption and distribution characteristics of collagen and blood in the cervical is still lacking. In this study, we developed a colposcopy combining cross-polarized image and image processing algorithm with an e±cient analytical model to map the distribution of blood and collagen in the uterine. For this system's proof of concept, we captured and processed the case of cervical ectopy and Nabothian cyst. The results show that the distribution of blood and collagen maps matched with anatomical and physiological when compared with Lugol's iodine images. This technology has some advantages, such as low cost, real time, and can replace the use of acetic acid or Lugol's iodine in the future.