Research On Key Technologies In Image Enhancement Of Capsule Endoscope

The use of capsule endoscopes is becoming more and more popular,and has become an indispensable part of physical examination and surgical operations.However,due to the limited light power of capsule endoscopes and the complex environment in the human cavity,the images captured by them have poor contrast,insufficient detailed information and specular reflection highlights will seriously affect the doctor’s observation and diagnosis of the disease,as well as the later three-dimensional reconstruction of the gastrointestinal tract surface.When the existing method enhances the image of the capsule endoscope,there are problems of balance between image detail enhancement,brightness enhancement,and noise suppression,as well as intermittent texture and large pixel differences in the highlight removal area.For this reason,this paper studies the key technologies in capsule endoscope image enhancement,and the achievements can be summarized as follows:First,in view of the problem that the uneven illumination of the capsule endoscope leads to local over-darkness or even loss of detail in the captured image,and the difficulty in balancing the local detail enhancement and brightness enhancement of the low-light image,this paper proposes a method based on adaptive enhancement method for gastrointestinal low-light images in capsule endoscopy.In this paper,a Retinex reflection component extraction method based on a guided filter is designed to better ensure the effect of edge preservation.At the same time,an adaptive S-type function based on the JND model is constructed to enhance the illumination component,so as to achieve the purpose of highlighting the details of the dark area of the capsule endoscope image.And it is proved by experiments that the method in this paper can effectively solve the problem of uneven brightness and poor contrast of the low-light image of the capsule endoscope,and at the same time enhance the details of the low-light image of the capsule endoscope.Second,the images captured by the capsule endoscope in the small intestine covered with microscopic villi are often unclear,resulting in the lack of details of the small intestinal villi captured by the capsule endoscope,and the small intestine image is difficult to achieve between edge detail enhancement and noise suppression.In order to balance the problem,this paper proposes an adaptive enhancement method for capsule endoscopic small intestine images based on unsharping mask to effectively highlight the edge details of its tiny villus structure.In this paper,the illumination gain factor and gradient gain factor obtained by combining the illumination and edge information characteristics of the capsule endoscope small intestine image are used to construct the local scaling factor of the unsharping mask method,so as to adaptively highlight its edge details and suppress excessive noise enhancement.As well as preventing edge overshoot issues.Thirdly,in view of the problem that the images captured by the capsule endoscope often have strong specular reflections to generate highlights that lead to the loss of information in the highlight area,and the problem of intermittent texture and large pixel differences in the highlight removal area,this paper proposes a capsule endoscopy-oriented specular image highlight removal method.In this paper,the confidence degree in the Criminisi algorithm is improved by using the characteristics of the RGB color space of the capsule endoscope image,and the priority calculation method is improved by adding the confidence degree and the weight of the data item to ensure the correct repair order.At the same time,the size of the sample block is adjusted by the variance,and the best matching block is calculated by combining the RGB color channel distance and the pixel distance,so that the removed highlight area and the nearby area have similar pixels and continuous texture.And it is proved by experiments that the method in this paper can effectively remove the specular highlights of the capsule endoscope image.The research results of this paper have improved the clarity and highlight of the capsule endoscope image,and can better show the internal detail structure,which provides opportunities for medical workers or automatic robots in the body to accurately locate the lesion,and expands the image quality.The application of preprocessing technology in a wider range of fields.