Implementasi Hue Saturation Value (HSV) Untuk Identifikasi Fraktur Tulang

Rita Zahara
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Abstract

Fracture or fracture is a break in the continuity of the bone, most of the fractures occur as a result of trauma, some fractures occur secondary to a disease process such as osteoporosis which causes pathological fractures. The cause of fracture is trauma, which is divided into direct trauma, indirect trauma, and minor trauma. The problem in this research is that the system can be designed to work properly to perform image processing which has shortcomings in the advantages of detection of edge images on bone invoices. Hue is a color known to humans such as red and green, colors that are captured by the human eye based on the wavelength produced. Saturation represents the purity level of the color or the amount of white light mixed with the hue. Each pure color has a saturation value of 100%. Edge detection serves to identify the outline of an object against an overlapping background. Color segmentation is the separation of segments in an image based on the colors contained in the image.
采用顺化1值(HSV)来识别骨头骨折
骨折或骨折是骨骼连续性的断裂,大多数骨折是由于创伤而发生的,有些骨折是继发于疾病过程,如骨质疏松症,导致病理性骨折。骨折的原因是外伤,分为直接外伤、间接外伤和轻微外伤。本研究的问题是,该系统能够被设计成能够正常工作,进行图像处理,这在骨发票边缘图像检测方面具有优势。色相是人类已知的颜色,如红色和绿色,根据产生的波长被人眼捕获的颜色。饱和度表示颜色的纯度水平或与色调混合的白光的数量。每种纯色的饱和度值都是100%。边缘检测用于在重叠的背景下识别物体的轮廓。颜色分割是基于图像中包含的颜色对图像中的段进行分离。
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