Texture and color based image segmentation and pathology detection in capsule endoscopy videos

Scalable gastroscopic video summarization via similar-inhibition dictionary selection

“…According to the specific lesions, these systems can be classified to handle bleeding [30,31], tumors [32,33], Helicobacter pylori [34], cancer [35,36], Crohn's disease [37] and polyps [38]. Moreover, some other applications include pose detection for endoscopy [39], video segmentation [40] and three-dimensional reconstruction of the digestive wall [41]. For video summarization, as discussed above, most previous works mainly focus on the summarization of structured videos, which have well-defined temporal structures and characteristics for selecting key frames.…”

The use of texture analysis in the vertebral morphometric study of a lordotic chub (Squalius cephalus L.)

“…The four vertebrae belonging to the lordotic tract (30,31,32,33) were analyzed for their texture features by means of a public domain software package for image texture analysis (MaZda vers. 4.6, Szczypinski P) [4][5][6]13] , and were compared, for the same features, to other four vertebrae immediately cranial (anterior) to the lordotic vertebrae. All the analyzed vertebrae were related to the anal fin pterygiophores (namely they all belonged to same vertebral region), to ensure the same normal bone microarchitecture ( Figure 1).…”

“…[1][2][3] . Texture may contain substantial information about the structure of any physical object and its graphical representation; therefore, it is a pivotal parameter in image analysis [4][5][6] . Referring to biomedical science, texture analysis has been successfully used in medical imaging, diagnostic histopathology and tissue morpho-functional studies [4][5][6][7][8][9][10][11] .…”

Abnormality tracking during video capsule endoscopy using an affine triangular constraint based on surrounding features

“…1. There has thus been much research centered on assisting WCE diagnosis in recent years [4][5][6][7][8]. Furthermore, a training system is needed to assist medical doctors to identify abnormal regions in WCE images.…”