scholarly journals Evaluation of a Mathematical Model for Digital Image Enhancement

2015 ◽  
Vol 9 (1) ◽  
pp. 292-296
Author(s):  
Hassem Geha ◽  
Ibrahim Nasseh ◽  
Marcel Noujeim
Keyword(s):  
Mathematical Model ◽  
Digital Image ◽  
Histogram Equalization ◽  
Polynomial Model ◽  
The Other ◽  
Degree Polynomial ◽  
Significant Difference ◽  
Digital Image Enhancement ◽  
Factor Interaction ◽  
Three Factor

Objective : The purpose of this study is to compare the detected number of holes on a stepwedge on images resulting from the application of the 5th degree polynomial model compared to the images resulting from the application of linear enhancement. Material and Methods : A 10-step aluminum step wedge with holes randomly drilled on each step was exposed with three different kVp and five exposure times per kVp on a Schick33® sensor. The images were enhanced by brightness/contrast adjustment, histogram equalization and with the 5th degree polynomial model and compared to the original non-enhanced images by six observers in two separate readings. Results : There was no significant difference between the readers and between the first and second reading. There was a significant three-factor interaction among Method, Exposure time, and kVp in detecting holes. The overall pattern was: “Poly” results in the highest counts, “Original” in the lowest counts, with “B/C” and “Equalized” intermediate. Conclusion : The 5th degree polynomial model showed more holes when compared to the other modalities.

scholarly journals Digital Image Enhancement in Matlab: An Overview on Histogram Equalization and Specification

2018 ◽  
Author(s):  
Rezoana Bente Arif ◽  
Mohammad Mahmudur Rahman Khan ◽  
Md. Abu Bakr Siddique
Keyword(s):  
Image Enhancement ◽  
Digital Image ◽  
Color Image ◽  
Histogram Equalization ◽  
Grayscale Image ◽  
Histogram Specification ◽  
Digital Image Enhancement

This paper has two major parts. In the first part histogram equalization for the image enhancement was implemented without using the built-in function in MATLAB. Here, at first, a color image of a rat was chosen and the image was transformed into a grayscale image. After this conversion, histogram equalization was implemented on the grayscale image. Later on, in the same image for each RGB channel, histogram equalization was implemented to observe the effect of histogram equalization on each channel. In the end, the histogram equalization was implemented to this specific color image of a rat. In the second part, for the grayscale image in part 1, the desired histogram of another colored image of a rat was introduced and histogram specification was implemented on the original colored image.

scholarly journals Digital Image Enhancement in Matlab: An Overview on Histogram Equalization and Specification

2019 ◽  
Author(s):  
Rezoana Bente Arif ◽  
Mohammad Mahmudur Rahman Khan ◽  
Md. Abu Bakr Siddique
Keyword(s):  
Image Enhancement ◽  
Digital Image ◽  
Color Image ◽  
Histogram Equalization ◽  
Grayscale Image ◽  
Histogram Specification ◽  
Digital Image Enhancement

This paper has two major parts. In the first part histogram equalization for the image enhancement was implemented without using the built-in function in MATLAB. Here, at first, a color image of a rat was chosen and the image was transformed into a grayscale image. After this conversion, histogram equalization was implemented on the grayscale image. Later on, in the same image for each RGB channel, histogram equalization was implemented to observe the effect of histogram equalization on each channel. In the end, the histogram equalization was implemented to this specific color image of a rat. In the second part, for the grayscale image in part 1, the desired histogram of another colored image of a rat was introduced and histogram specification was implemented on the original colored image.

scholarly journals A Mathematical Model for the Alkylation of Phenol with Octanol-1

2012 ◽  
Vol 60 (1) ◽  
pp. 65-70
Author(s):  
Manoranjan Saha ◽  
Md Kabir Hossain ◽  
Md Ashaduzzaman ◽  
Dipti Saha ◽  
Shams Tania Afroza Islam ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Sulphuric Acid ◽  
Molar Ratio ◽  
Suggested Model ◽  
Stirring Time ◽  
Experimental Yield ◽  
The Difference ◽  
Main Effects ◽  
Factor Interaction ◽  
Three Factor

A 3-factor 2-level Yates pattern experimental design was used to develop a mathematical model for the alkylation of phenol with octanol-1 in the presence of sulphuric acid. A set of trials was planned with two replicates and the centre point trial with 4 replicates. Main effects as well as two- and three- factor interaction effects were statistically significant. The highest experimental yield was 79.5%. The experimental settings were temperature, 160ºC; molar ratio of phenol to octanol-1, 10:1; amount of 94% sulphuric acid, 8% by wt. of phenol; addition time, 2h and stirring time, 2h. Adequacy of the suggested model was checked. The difference between the experimental and estimated yield was negligible.DOI: http://dx.doi.org/10.3329/dujs.v60i1.10339  Dhaka Univ. J. Sci. 60(1): 65-70 2012 (January)

scholarly journals A Mathematical Model for the Alkylation of o-Cresol with Cyclohexanol

1970 ◽  
Vol 44 (2) ◽  
pp. 181-186
Author(s):  
M Ashaduzzaman ◽  
Manoranjan Saha ◽  
Shams Tania Afroza Islam ◽  
Mohammad Ismail ◽  
Nashid Sharif ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Experimental Design ◽  
Perchloric Acid ◽  
Molar Ratio ◽  
Suggested Model ◽  
Critical Response ◽  
Stirring Time ◽  
Main Effects ◽  
Factor Interaction ◽  
Three Factor

A mathematical model was developed for the alkylation of o-cresol with cyclohexanol in the presence of perchloric acid as a catalyst. A set of trials was planned according to a 3 factor 2-level Yates pattern experimental design. The variables chosen for the study were temperature, molar ratio of o-cresol to cyclohexanol and amount of perchloric acid. The critical response was the yield of cyclohexyl o-cresol. Main effects as well as two-and three-factor interaction effects were statistically significant. The adequacy of the suggested model was checked up. The highest experimentally found yield was 89.3% while the estimated yield was found to be 89.09%. The experimentally settings were temperature, 140O C; molar ratio of o-cresol to cyclohexanol, 6:1; amount of catalyst, 5% by wt. of o-cresol; addition time, 2 h; stirring time, 1 h. Keywords: o-Cresol, Cyclohexanol, Experimental design, Alkylation. DOI: 10.3329/bjsir.v44i2.3669 Bangladesh J. Sci. Ind. Res. 44(2), 181-186, 2009

Writing in Aphasia Rehabilitation: Cursive vs Manuscript

1976 ◽  
Vol 41 (4) ◽  
pp. 523-529 ◽  
Author(s):  
Daniel R. Boone ◽  
Harold M. Friedman
Keyword(s):  
Correct Response ◽  
The Other ◽  
Read Aloud ◽  
Writing Style ◽  
Reading And Writing ◽  
Manual Responses ◽  
Significant Difference ◽  
Written Form ◽  
The Individual ◽  
Read Number

Reading and writing performance was observed in 30 adult aphasic patients to determine whether there was a significant difference when stimuli and manual responses were varied in the written form: cursive versus manuscript. Patients were asked to read aloud 10 words written cursively and 10 words written in manuscript form. They were then asked to write on dictation 10 word responses using cursive writing and 10 words using manuscript writing. Number of words correctly read, number of words correctly written, and number of letters correctly written in the proper sequence were tallied for both cursive and manuscript writing tasks for each patient. Results indicated no significant difference in correct response between cursive and manuscript writing style for these aphasic patients as a group; however, it was noted that individual patients varied widely in their success using one writing form over the other. It appeared that since neither writing form showed better facilitation of performance, the writing style used should be determined according to the individual patient’s own preference and best performance.

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