&lt;title&gt;Use of two-dimensional discrete cosine transform for an adaptive approach to image segmentation&lt;/title&gt;

Soltane, Schahrazad; Kerkeni, Naceur; Angué, Jean-Claude

doi:10.1117/12.234730

Cited by 9 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We can observe emergent trends proposing digital library domains for editing, segmenting and indexing directly in the compressed images [7][8][9][10]. Inspired by Shen and Sethi [8], we propose an improved version for the local dominant orientation estimate in each block, directly from the DCT coefficients.…”

Section: Introductionmentioning

confidence: 99%

Categorisation and Retrieval of Scene Photographs from JPEG Compressed Database

Ladret¹,

Guérin–Dugué²

2001

Pattern Analysis & Applications

View full text Add to dashboard Cite

Natural image categorisation and retrieval is the main challenge for image indexing. With the increase of available images and video databases, there is a real need to, first, organise the database automatically according to different semantic groups, and secondly, to take into account these large databases where most of the data is stored in a compressed form. The global distribution of orientation features is a very powerful tool to semantically organise the database into groups, such as outdoor urban scenes, indoor scenes, 'closed' landscapes (valleys, mountains, forests, etc.) and 'open' landscapes (deserts, fields, beaches, etc.). The constraint of a JPEG compressed database is completely integrated with an efficient implementation of an orientation estimator in the DCT (Discrete Cosinus Transform) domain. The proposed estimator is analysed from different points of view (accuracy and discrimination power). The images are then globally characterised by a set of a few parameters (two or three), allowing a fast scenes categorisation and organisation which is very robust to the quantisation effect, up to a quality factor of 10 in the JPEG format.

show abstract

Section: Introductionmentioning

confidence: 99%

Categorisation and Retrieval of Scene Photographs from JPEG Compressed Database

Ladret¹,

Guérin–Dugué²

2001

Pattern Analysis & Applications

View full text Add to dashboard Cite

show abstract

“…Direct manipulation of the compressed images and videos o!ers low-cost processing of real time multimedia applications. To date, these e!orts include algebraic operations [4], geometric transformation [5], image segmentation [6], feature extraction [7], indexing [8], and camera break detection [9]. Most of these works were done directly in the DCT domain.…”

Section: Related Workmentioning

confidence: 99%

“…Soltane et al [6] suggested an adaptive edge operator selection scheme for image segmentation based on the mean, variance, and entropy of DCT coe$cients. Shen and Sethi [7] further presented an edge detector with twenty times the speed of conventional methods.…”

Section: Related Workmentioning

confidence: 99%

Exploiting image indexing techniques in DCT domain

Ngo

Pong

Chin

2001

Pattern Recognition

View full text Add to dashboard Cite

This paper is concerned with the indexing and retrieval of images based on features extracted directly from the JPEG discrete cosine transform (DCT) domain. We examine possible ways of manipulating DCT coe$cients by standard image analysis approaches to describe image shape, texture, and color. Through the Mandala transformation, our approach groups a subset of DCT coe$cients to form ten blocks. Each block represents a particular frequency content of the original image. Two blocks are used to model rough object shape; nine blocks to describe subband properties; and one block to compute color distribution. As a result, the amount of data used for processing and analysis is signi"cantly reduced. This can lead to simple yet e$cient ways of indexing and retrieval in a large-scale image database. Experimental results show that our proposed approach o!ers superior indexing speed without signi"cantly sacri"cing the retrieval accuracy.

show abstract

“…An important goal of image segmentation is to separate the object and background. For several years, segmentation has been the subject of several types of research to reduce the complexity of images by a simple description [ 24 , 25 ]. However, there is no generalized method for a large variety of images.…”

Section: Introductionmentioning

confidence: 99%

Microscopic Image Segmentation and Morphological Characterization of Novel Chitosan/Silica Nanoparticle/Nisin Films Using Antimicrobial Technique for Blueberry Preservation

2021

Self Cite

View full text Add to dashboard Cite

In the current work, the characterization of novel chitosan/silica nanoparticle/nisin films with the addition of nisin as an antimicrobial technique for blueberry preservation during storage is investigated. Chitosan/Silica Nanoparticle/N (CH-SN-N) films presented a stable suspension as the surface loads (45.9 mV) and the distribution was considered broad (0.62). The result shows that the pH value was increased gradually with the addition of nisin to 4.12, while the turbidity was the highest at 0.39. The content of the insoluble matter and contact angle were the highest for the Chitosan/Silica Nanoparticle (CH-SN) film at 5.68%. The use of nano-materials in chitosan films decreased the material ductility, reduced the tensile strength and elongation-at-break of the membrane. The coated blueberries with Chitosan/Silica Nanoparticle/N films reported the lowest microbial contamination counts at 2.82 log CFU/g followed by Chitosan/Silica Nanoparticle at 3.73 and 3.58 log CFU/g for the aerobic bacteria, molds, and yeasts population, respectively. It was observed that (CH) film extracted 94 regions with an average size of 449.10, at the same time (CH-SN) film extracted 169 regions with an average size of 130.53. The (CH-SN-N) film presented the best result at 5.19%. It could be observed that the size of the total region of the fruit for the (CH) case was the smallest (1663 pixels), which implied that the fruit lost moisture content. As a conclusion, (CH-SN-N) film is recommended for blueberry preservation to prolong the shelf-life during storage.

show abstract

<title>Use of two-dimensional discrete cosine transform for an adaptive approach to image segmentation</title>

Cited by 9 publications

References 1 publication

Categorisation and Retrieval of Scene Photographs from JPEG Compressed Database

Categorisation and Retrieval of Scene Photographs from JPEG Compressed Database

Exploiting image indexing techniques in DCT domain

Microscopic Image Segmentation and Morphological Characterization of Novel Chitosan/Silica Nanoparticle/Nisin Films Using Antimicrobial Technique for Blueberry Preservation

Contact Info

Product

Resources

About