{"id":10122,"date":"2020-08-14T15:17:35","date_gmt":"2020-08-14T08:17:35","guid":{"rendered":"https:\/\/io.telkomuniversity.ac.id\/?p=10122"},"modified":"2020-08-14T15:17:40","modified_gmt":"2020-08-14T08:17:40","slug":"what-image-processing","status":"publish","type":"post","link":"https:\/\/io.telkomuniversity.ac.id\/id\/what-image-processing\/","title":{"rendered":"What Image Processing Does for Medical Applications, the 5th Online Joint Class Telkom University & MMU"},"content":{"rendered":"

What Image Processing Does for Medical Applications, the 5th<\/sup> Online Joint Class Telkom University & MMU. Telkom University<\/a>, on the 7th<\/sup> anniversary (14\/08\/2020), in collaboration with Multimedia University Malaysia, successfully held the fifth session of the Online Joint Class. Today\u2019s topic was similar to the 3rd session\u2019s which is \u201cWhat Image Processing Does for Medical Applications\u201d. After previously Assoc. Prof. Agus Pratondo, Ph.D., discussed about definition of image processing and its fundamental in medical application, this time, Tee Connie, Ph.D, a senior lecturer in Faculty of Information Science and Technology at Multimedia University, Malaysia, is more on the image processing steps.<\/p>\n\n\n\n

According to Dr. Connie, there\nare five steps of image processing, including:<\/p>\n\n\n\n

  1. Image Acquisition<\/li>
  2. Pre-processing<\/li>
  3. Segmentation<\/li>
  4. Representation\n& Description<\/li>
  5. Recognition &\nInterpretation<\/li><\/ol>\n\n\n\n

    Image acquisition and pre-processing\ninclude in the low-level processing, segmentation and representation &\ndescription include in the intermediate level processing, and the rest\nrecognition & interpretation include in the high level processing.<\/p>\n\n\n\n

    Image acquisition is derived from\ncapturing the image using MRI CT Scan, X Ray, and USG to forming a digital\nimage matrix. The image is then digitized into picture element, called PIXEL.\nWhile pre-processing is an image enhancement process which includes noise suppression,\ncontrast enhancement, and time\/space filtering. \nThe objectives of image enhancement is to process an image so that the\nresult is more suitable than the original image for a specific application. It\ncan be divided into two categories, namely spatial domain methods which\nincludes point processing and mask filtering, and frequency domain methods\nwhich includes fourier transform. <\/p>\n\n\n\n

    Spatial domain methods refer to the\naggregate of pixels composing an image. They are also the procedures that\noperate directly on these pixels using point processing (single pixel\nfiltering) and mask filtering (other neighbor filtering). Basically, a mask is\na small (e.g 3×3) @-D array, in which the values of the coefficients determine\nthe nature of the process, such as image sharpening. This approach is often\nreferred to mask processing or filtering. There are two types of filtering\nmethods, namely smoothing filter aiming to blur image and reduce the noise, and\nsharpening filter aiming to highlight fine structure. The filter used to filter\nnoise and blur can be average filter and median filter.<\/p>\n\n\n\n

    At the end of the class, Dr Connie also demonstrated some study cases on image processing. The participants were assigned to find out the problems of the images showed and then find its solution. The class was so interactive by then. All participants were actively involved in the discussion guided directly by Dr. Connie. All participants also found the class interesting and the topic delivered smoothly interactive. It is also hoped that next session will be as interactive as today\u2019s so the participants can gain more meaningful insight.(IO<\/a>)*** <\/p>\n\n\n\n

    <\/p>","protected":false},"excerpt":{"rendered":"

    What Image Processing Does for Medical Applications, the 5th Online Joint Class Telkom University & MMU. Telkom University, on the 7th anniversary (14\/08\/2020), in collaboration with Multimedia University Malaysia, successfully held the fifth session of the Online Joint Class. Today\u2019s topic was similar to the 3rd session\u2019s which is \u201cWhat Image Processing Does for Medical […]<\/p>\n","protected":false},"author":3,"featured_media":10123,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wds_primary_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10122","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-all-news"],"_links":{"self":[{"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/posts\/10122","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/comments?post=10122"}],"version-history":[{"count":1,"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/posts\/10122\/revisions"}],"predecessor-version":[{"id":10124,"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/posts\/10122\/revisions\/10124"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/media\/10123"}],"wp:attachment":[{"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/media?parent=10122"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/categories?post=10122"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/io.telkomuniversity.ac.id\/id\/wp-json\/wp\/v2\/tags?post=10122"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}