Abstract
Ambulance services play a vital role in intelligent transportation systems (ITS). In an intelligent ambulance system, the medical images can help doctors quickly and accurately understand the patients’ condition during first aid. On various display devices in different kinds of ambulances, content-aware image adaption can be used to better present the medical image among different display resolutions and aspect ratios. Most existing methods mainly focus on visual protection of salient areas, such as specific organ parts of the human body, with less attention paid to the visual effect of unimportant areas. However, the human visual system is more sensitive to the edge and contour of images, which are important for ambulance services. To improve the visual effect of adapted images, a contour-maintaining-based image adaption method for an efficient ambulance service in ITS is proposed here. Firstly, the proposed method innovatively combines the weighted gradient, saliency, and edge maps into an importance map. Secondly, energy is optimized for reducing contour distortion and interruption according to the visual slope and curvature of contours and edges in non-salient areas. Finally, applying the sub-procedure of a forward seam carving method, the optimal seams can more evenly pass through the contour areas. The experimental results demonstrate that the proposed method is more effective than other similar methods.
Highlights
With the rapid development of computer-aided diagnosis technology [1], a variety of medical imaging technologies have emerged clinically for capturing medical images of human internal tissues and organs, such as Computed Tomography (CT), Nuclear Magnetic Resonance Imaging (NMRI), and Ultrasound Imaging (UI)
These medical images can be presented on ambulancemounted intelligent systems for fast and accurate diagnosis with the development of artificial intelligence technology [2]–[4], mobile communication technology [5]–[8], the and Internet of Things [9]–[11]
This paper proposes a high-quality medical image adaptation method based on contour preservation for ambulancemounted intelligent system
Summary
With the rapid development of computer-aided diagnosis technology [1], a variety of medical imaging technologies have emerged clinically for capturing medical images of human internal tissues and organs, such as Computed Tomography (CT), Nuclear Magnetic Resonance Imaging (NMRI), and Ultrasound Imaging (UI). With regard to the contours in unimportant areas, distortion and deformation produce unpleasant display defects and fade the visual effect of the adapted image. This paper proposes a high-quality medical image adaptation method based on contour preservation for ambulancemounted intelligent system. This method protects the integrity and display proportion of prominent object, improves the continuity and smoothness of edges and contours, and maintains their shape in non-salient areas. Experiments showed that the proposed method can improve the visual effect of unimportant areas, reduce visual bias, and improve the overall display quality of adapted images. The rest of this paper is organized as follows: Section 2 presents the proposed contour-maintaining-based medical image adaption method.
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