Thermal sensors are now being an emerging technology in image processing applications such as face recognition, fault detection, object detection and classification, navigation, etc. Owing to its versatility, it has been an influential concern for many researchers recently. Thermal sensors have proficiency of sensing the object heedless of the lighting conditions. Due to this added leverage of thermal sensors, we propose a novel scheme for spotting the object, which is targeted by a specific thermal camera. The accomplishment of this task paves the opportunity for guiding the visually impaired (VI) people within the indoor environment adequately. Augmenting the obstacles in the user’s path is requisite for the VI people’s navigation. The image of the object is captured using the thermal camera and pre-processed for enhancing the quality of that image by suppressing the background, tuning the colour channels, etc. Noise in the thermal image is eradicated to a certain extent using Gaussian smoothing process followed by Markov random field for constructing the Gaussian mixture model. Further, the pattern is deduced and classified based on the least-squares support-vector machine. The experiment is tested for disparate timing and distance, and the optimum solution is obtained. To enact the accurate outcome with short estimation period in affordable size and cost is the main added logic behind this fused concept.

中文翻译：

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基于热图像的对象分类指导视障者

热传感器现在正成为图像处理应用中的新兴技术，例如人脸识别，故障检测，对象检测和分类，导航等。由于其多功能性，近来它已成为许多研究人员关注的问题。热传感器能够在不考虑照明条件的情况下感应物体。由于增加了热传感器的杠杆作用，我们提出了一种用于发现物体的新颖方案，该方案由特定的热像仪瞄准。该任务的完成为在室内环境中充分引导视障人士提供了机会。VI用户导航必须增加用户路径中的障碍。使用热像仪捕获对象的图像并进行预处理，以通过抑制背景，调整色彩通道等来增强图像的质量。使用高斯平滑处理将热图像中的噪声消除到一定程度用Markov随机场构建高斯混合模型。此外，基于最小二乘支持向量机推导并分类模式。测试了该实验的不同时间和距离，并获得了最佳解决方案。在较短的估算时间内以可承受的大小和成本制定准确的结果是此融合概念背后的主要补充逻辑 使用高斯平滑处理，然后使用马尔可夫随机场来构建高斯混合模型，可以在一定程度上消除热图像中的噪声。此外，基于最小二乘支持向量机推导并分类模式。测试了该实验的不同时间和距离，并获得了最佳解决方案。在较短的估算时间内以可承受的大小和成本制定准确的结果是此融合概念背后的主要补充逻辑 使用高斯平滑处理，然后使用马尔可夫随机场，在一定程度上消除热图像中的噪声，从而构建高斯混合模型。此外，基于最小二乘支持向量机推导并分类模式。测试了该实验的不同时间和距离，并获得了最佳解决方案。在较短的估算时间内以可承受的大小和成本制定准确的结果是此融合概念背后的主要补充逻辑。