A capsule endoscopy examination of the human small bowel generates a large number of images that have high similarity. In order to reduce the time it takes to review the high similarity images, clinicians will increase the playback speed, typically to 15 frames per second [1]. Associated with this behaviour is an increased probability of overlooking an image that may contain an abnormality. An alternative option to increasing the playback speed is the application of abnormality detection systems to detect abnormalities such as ulcers, tumors, polyps and bleeding. However, applying all of these detection systems requires significant computing time and still produces numerous images with high similarity depending on the specificity of the utilized detection systems. An interesting approach to reduce viewing time is the application of a frame reduction system that reduces the number of images by omitting those with a high similarity of information. The advantage of such a system is that the specialist only needs to review a single image that technically represents a series of images with high similarity. This reduces the total number of images that a specialist must review and importantly, images containing any abnormality are not removed from the review, but simply reduced in number. Thus, the current study developed a frame reduction system using various color models using Bayer images for color texture and a modified local binary pattern (LBP) for structural information. The proposed system achieved a reduction ratio of 93.87%, which is higher than the existing systems and required lesser computation due to the utilization of Bayer images.

人体小肠的胶囊内窥镜检查会产生大量具有高度相似性的图像。为了减少查看高相似度图像所需的时间，临床医生将提高回放速度，通常为每秒15帧[1]。与该行为相关联的是，可以忽略可能包含异常的图像的可能性增加。提高播放速度的另一种选择是应用异常检测系统来检测异常，例如溃疡，肿瘤，息肉和出血。然而，应用所有这些检测系统需要大量的计算时间，并且仍然取决于所利用的检测系统的特异性而产生大量具有高度相似性的图像。减少观看时间的一种有趣方法是应用帧减少系统，该系统通过省略具有高度相似信息的图像来减少图像数量。这种系统的优势在于，专家只需查看一张从技术上讲代表一系列具有高度相似性的图像的图像即可。这减少了专家必须检查的图像总数，重要的是，包含任何异常的图像不会从检查中删除，而只是数量减少了。因此，当前的研究开发了一种框架缩减系统，该系统使用各种颜色模型，这些模型使用拜耳图像获取颜色纹理，并使用修改后的局部二进制图案（LBP）获取结构信息。拟议的系统减少了93.87％的比例，