Calculating Contrast Stretching Variables in Order to Improve Dental Radiology Image Quality

Brightness and Contrast Modification in Ultrasonography Images Using Edge Detection Results

“…In our previous research [19][20][21][22][23][24][25][26], we developed some simple and easy to use technology to support health service in rural area based on image processing and expert system. It is implemented in some areas of diseases such as cataract, high risk pregnancy, cervical cancer and etc.…”

Point Processing Method for Improving Dental Radiology Image Quality

“…After getting a grayscale image, the next is to analyze the histogram of each input image as a based to calculate the value of R1, S1, R2 and S2. In our previous research [2], we did this analysis and we classified our images data into three classifications, there are tend to left, tend to right and tend to left and right After knowing the tendencies of each histogram, it can be done further analysis is to determine the value of the gray-R1, S1, R2 , S2, A1, A2 and A3 as discussed in our previous results [2] and detailed results are described in Figure 3. According to the data obtained it appears there are some differences when testing input on any type of histogram as follows (1) For the category of bright histogram, have a spread of gray that dominates the right side, the input to S1 is smaller than R1, is caused by input S1 smaller can encourage changes in location of pixels new that leads to the left, so that the type of ideal histogram can be achieved.…”

“…Based on usability, it can be said that the Dental Radiography plays an important role in various matters in the field of dentistry. One of the tools commonly used in dental radiography is panoramic machine [2]. Refers to the advantages of using dental radiography, it is now almost all dentists use them for the benefit of their diagnosis.…”

Point Processing Method for Improving Dental Radiology Image Quality

“…After getting a grayscale image, the next is to analyze the histogram of each input image as a based to calculate the value of R1, S1, R2 and S2. In our previous research [2], we did this analysis and we classified our images data into three classifications, there are tend to left, tend to right and tend to left and right After knowing the tendencies of each histogram, it can be done further analysis is to determine the value of the gray-R1, S1, R2 , S2, A1, A2 and A3 as discussed in our previous results [2] and detailed results are described in Figure 3. 1591…”