Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation

García-Olalla, Oscar; Alegre, Enrique; Fernández-Robles, Laura; Garcí­a-Ordás, María Teresa

doi:10.1007/978-3-642-37410-4_6

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…For texture description purposes, the head of each spermatozoon is automatically registered locating the tail part in the bottom of the image, using the same procedure as the one explained in [29]. This is doing before to remove the tail in the segmentation step.…”

Section: Segmentation Of the Spermatozoa Headsmentioning

confidence: 99%

Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors

García-Olalla

Alegre

Fernández-Robles

et al. 2015

Computer Methods and Programs in Biomedicine

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Section: Segmentation Of the Spermatozoa Headsmentioning

confidence: 99%

Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors

García-Olalla

Alegre

Fernández-Robles

et al. 2015

Computer Methods and Programs in Biomedicine

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“…Other information, such as the least squares, has been utilized to decrease the local variances that contribute to stabilizing the directional features. Garcia et al [11] have modified the adapted LBP, in which the standard deviation has been oriented rather than utilized within the matching process. This modification has shown competitive results in some domains of interests.…”

Section: Rotation Invariant Local Binary Patternmentioning

confidence: 99%

Review of local binary pattern operators in image feature extraction

Khaleefah

Mostafa

Nasrudin

2020

IJEECS

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<span>With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review is to show the current trends for using, modifying and adapting LBP in the domain of image processing.</span>

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“…Guo et al developed several modifications to LBP such as LBP variance (LBPV) [ 47 ], complete LBP (CLBP) [ 48 ] or adaptive LBP (ALBP) [ 49 ]. García-Olalla et al introduced algorithms to enhance LBP description [ 50 , 51 , 52 ], developing a new booster method that can be fused with LBP in order to improve accuracy results [ 53 ]. We refer the reader to [ 54 , 55 ] for a general framework and a taxonomy of local binary patterns variants.…”

Section: Related Researchmentioning

confidence: 99%

Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments

García-Olalla

Alegre

Fernández-Robles

et al. 2018

Sensors

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Textile based image retrieval for indoor environments can be used to retrieve images that contain the same textile, which may indicate that scenes are related. This makes up a useful approach for law enforcement agencies who want to find evidence based on matching between textiles. In this paper, we propose a novel pipeline that allows searching and retrieving textiles that appear in pictures of real scenes. Our approach is based on first obtaining regions containing textiles by using MSER on high pass filtered images of the RGB, HSV and Hue channels of the original photo. To describe the textile regions, we demonstrated that the combination of HOG and HCLOSIB is the best option for our proposal when using the correlation distance to match the query textile patch with the candidate regions. Furthermore, we introduce a new dataset, TextilTube, which comprises a total of 1913 textile regions labelled within 67 classes. We yielded 84.94% of success in the 40 nearest coincidences and 37.44% of precision taking into account just the first coincidence, which outperforms the current deep learning methods evaluated. Experimental results show that this pipeline can be used to set up an effective textile based image retrieval system in indoor environments.

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Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation

Cited by 7 publications

References 16 publications

Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors

Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors

Review of local binary pattern operators in image feature extraction

Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments

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