Intensity matching through saliency maps for thermal and visible image registration for face detection applications

Krishnan, Palani Thanaraj; Balasubramanian, Parvathavarthini; Jeyakumar, Vijay; Mahadevan, Shriraam; Raj, Alex Noel Joseph

doi:10.1007/s00371-022-02605-z

Cited by 6 publications

(2 citation statements)

References 39 publications

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“…Therefore, we can conclude that the SBSS model is more accurate compared to the LSF model. The better accuracy performance obtained from the proposed SBSS model are due to the advantages of applying the saliency image map which tends to produce primarily the nontrivial part of the image [35], incorporate specific features of human vision [36] and coherent initial guess via the absorbing markov chain and at the same time, enhances the overall visual quality of segmentation results.…”

Section: Resultsmentioning

confidence: 99%

Saliency-based variational active contour model for image with intensity inhomogeneity

Mazlin,

Jumaat,

Embong

2023

IJEECS

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<span>Variational active contour model (ACM) is used to segment or subdivide an image into the desired object. This segmentation technique in region-based ACM can be divided into two classes: global segmentation and selective segmentation. Selective segmentation, in which only a particular desired object is segmented from an input image, is preferable to the global model because the selective segmentation model proves to be very useful, especially in medical image analysis. However, when it comes to segmenting an image with inhomogeneous intensity, these models seem to give unsatisfactory results. In this paper, we propose a new variational selective ACM mainly used for segmentation of images with inhomogeneous intensity, by incorporating saliency image map and local image fitting ideas. In addition, the euler-lagrange equation (EL) was provided to solve the proposed model. A total of thirty sets of medical images were used to test the model. Numerical results show that the suggested model outperforms other existing models, with the hausdorff distance of the proposed model being 47.78% less than the competing model, and the dice and jaccard values being around 17.54% and 33.65% higher, respectively, than the competing model.</span>

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Section: Resultsmentioning

confidence: 99%

Saliency-based variational active contour model for image with intensity inhomogeneity

Mazlin,

Jumaat,

Embong

2023

IJEECS

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show abstract

“…However, it also fails to solve the problem related to the weak grayscale correlation between infrared and visible images in natural scenes. Krishnan et al proposed the approach applying a saliency map strategy to convert the infrared and visible face images into the same mode to solve the problem of gray correlation between infrared and visible images [31]. However, it is difficult to find the correct mapping relationship between infrared and visible natural images because of the complexity of natural scenes.…”

Section: Introductionmentioning

confidence: 99%

Small Zoom Mismatch Adjustment Method for Dual-Band Fusion Imaging System Based on Edge-Gradient Normalized Mutual Information

Chen

Liu

Jin

et al. 2023

Sensors

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Currently, automatic optical zoom setups are being extensively explored for their applications in search, detection, recognition, and tracking. In visible and infrared fusion imaging systems with continuous zoom, dual-channel multi-sensor field-of-view matching control in the process of synchronous continuous zoom can be achieved by pre-calibration. However, mechanical and transmission errors of the zoom mechanism produce a small mismatch in the field of view after co-zooming, degrading the sharpness of the fusion image. Therefore, a dynamic small-mismatch detection method is necessary. This paper presents the use of edge-gradient normalized mutual information as an evaluation function of multi-sensor field-of-view matching similarity to guide the small zoom of the visible lens after continuous co-zoom and ultimately reduce the field-of-view mismatch. In addition, we demonstrate the use of the improved hill-climbing search algorithm for autozoom to obtain the maximum value of the evaluation function. Consequently, the results validate the correctness and effectiveness of the proposed method under small changes in the field of view. Therefore, this study is expected to contribute to the improvement of visible and infrared fusion imaging systems with continuous zoom, thereby enhancing the overall working of helicopter electro-optical pods, and early warning equipment.

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Multimodal image registration techniques: a comprehensive survey

Velesaca,

Bastidas,

Rouhani

et al. 2024

Multimed Tools Appl

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Intensity matching through saliency maps for thermal and visible image registration for face detection applications

Cited by 6 publications

References 39 publications

Saliency-based variational active contour model for image with intensity inhomogeneity

Saliency-based variational active contour model for image with intensity inhomogeneity

Small Zoom Mismatch Adjustment Method for Dual-Band Fusion Imaging System Based on Edge-Gradient Normalized Mutual Information

Multimodal image registration techniques: a comprehensive survey

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